classes ::: web, Computer Science,
children :::
branches ::: search engine

bookmarks: Instances - Definitions - Quotes - Chapters - Wordnet - Webgen


object:search engine
class:web
subject class:Computer Science

Search Engine Journal - many descriptions from here.

--- SEARCH ENGINES AND SUCH [SORTED BY % OF WEB TRAFFIC TO INFINITE LIBRARY]

Google

DuckDuckGo ::: DuckDuckGo is an internet search engine that emphasizes protecting searchers' privacy and avoiding the filter bubble of personalized search results. DuckDuckGo does not show search results from content farms. Wikipedia

Bing ::: Microsoft Bing is a web search engine owned and operated by Microsoft. The service has its origins in Microsoft's previous search engines: MSN Search, Windows Live Search and later Live Search. Bing provides a variety of search services, including web, video, image and map search products. Wikipedia

Yahoo! ::: Yahoo is an American web services provider. It is headquartered in Sunnyvale, California and operated by the namesake company Yahoo! Inc., which is 90% owned by investment funds managed by Apollo Global Management and 10% by Verizon Communications. Wikipedia

search.yahoo ::: Yahoo! Search is an Internet search service provided by the American website Yahoo!. Since 2009, it uses Microsoft's Bing search engine to display web search results. Wikipedia

Baidu ::: Baidu, Inc. is a Chinese multinational technology company specializing in Internet-related services and products and artificial intelligence, headquartered in Beijing's Haidian District. It is one of the largest AI and Internet companies in the world. Wikipedia

ecosia.org ::: Ecosia is a search engine based in Berlin, Germany. It donates 80% of its profits to nonprofit organizations that focus on reforestation. It considers itself a social business, is CO-negative and claims to support full financial transparency and protect the privacy of its users. Ecosia is also B Lab certified. Wikipedia

Yandex.ru ::: Yandex Search is a search engine. It is owned by Yandex, based in Russia. In January 2015, Yandex Search generated 51.2% of all of the search traffic in Russia according to LiveInternet. Wikipedia

alohafind.com ::: Its a private search engine from the makers of Aloha Browser.
Search engines are one of the biggest data collectors out there. With AlohaFind we keep you private and don't collect any data. Plus, we don't show you captcha all the time when you use it with VPN on. [based on googles engine]

aloha browser ::: Aloha Browser is a web browser developed by Aloha Mobile Ltd., based in Limassol, Cyprus. The browser has the ability to unblock any site through its built-in VPN service, which is unlimited free and can be activated with a single click.

Qwant.com ::: Qwant is a French search engine, launched in July 2013 and operated from Paris. It is one of the few EU-based search engines and one that has its own indexing engine. It claims that it does not employ user tracking or personalize search results in order to avoid trapping users in a filter bubble. Wikipedia

scholar.google.com ::: Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. Wikipedia

seznam.cz ::: Seznam.cz is a web portal and search engine in the Czech Republic. Founded in 1996 by Ivo Lukaovi in Prague as the first web portal in the Czech Republic. Seznam started with a search engine and an internet version of yellow pages. Today, Seznam runs almost 30 different web services and associated brands. Wikipedia

startpage ::: Startpage is a Dutch search engine company that highlights privacy as its distinguishing feature. The website advertises that it allows users to obtain Google Search results while protecting users' privacy by not storing personal information or search data and removing all trackers. Wikipedia

AOL ::: AOL is an American web portal and online service provider based in New York City. It is a brand marketed by the current incarnation of Yahoo! Inc.. The service traces its history to an online service known as PlayNET. PlayNET licensed its software to Quantum Link, who went online in November 1985. Wikipedia

youtube

plagiarisma.net

facebook

reddit

Openverse ::: Openly Licensed Images, Audio and More

Swisscows ::: "Swisscows is a unique option on this list, billing itself as a family-friendly semantic search engine."

Search Encrypt ::: Search Encrypt is a private search engine that uses local encryption to ensure your searches remain private.

Gibiru

One Search ::: "Verizon Media launched its privacy-focused search engine, OneSearch, in January 2020."

Wiki.com ::: "Wiki.com pulls its results from thousands of wikis on the net."

Boardreader

Archive.org - Wayback Machine

Brave.com

WolframAlpha


--- UNCHECKED AND POTENTIALLY QUESTIONABLE:
privacywall



--- PROBABLY MALWARE MASQUERADING AS SEARCH ENGINES [DANGER! AVOID! AVOID]
note all spaces below are added for obscuring as they are potentially links to viruses.

g o . m a i l . r u
P o s h u k a c h
w e b h e l p e r



see also :::

questions, comments, suggestions/feedback, take-down requests, contribute, etc
contact me @ integralyogin@gmail.com or
join the integral discord server (chatrooms)
if the page you visited was empty, it may be noted and I will try to fill it out. cheers



now begins generated list of local instances, definitions, quotes, instances in chapters, wordnet info if available and instances among weblinks


OBJECT INSTANCES [0] - TOPICS - AUTHORS - BOOKS - CHAPTERS - CLASSES - SEE ALSO - SIMILAR TITLES

TOPICS
Savitri_Search_Engines
Savitri_Search_Engines
SEE ALSO


AUTH

BOOKS

IN CHAPTERS TITLE

IN CHAPTERS CLASSNAME

IN CHAPTERS TEXT

PRIMARY CLASS

web
SIMILAR TITLES
Savitri Search Engines
search engine

DEFINITIONS


TERMS STARTING WITH

search engine "web, tool, information science" A remotely accessible program that lets you do keyword searches for information on the {Internet}. There are several types of search engine; the search may cover titles of documents, {URLs}, headers, or the {full text}. {A list of search engines (http://cuiwww.unige.ch/meta-index.html

search engine ::: (World-Wide Web, tool, information science) A remotely accessible program that lets you do keyword searches for information on the Internet. There are several types of search engine; the search may cover titles of documents, URLs, headers, or the full text. , Centre Universitaire d'Informatique at the University of Geneva (1995-11-28)


TERMS ANYWHERE

Alta Vista "web" A {website} provided by {Digital} which features a very fast Web and {Usenet} {search engine}. As of April 1996 its word index is 33GB in size. AltaVista is currently (June 1996) the largest Web index, with 30 million pages from 225,000 servers, and three million articles from 14,000 {Usenet} news groups. It is accessed over 12 million times per weekday. {(http://altavista.digital.com/)}. (1996-06-10)

Alta Vista ::: (World-Wide Web) A World-Wide Web site provided by Digital which features a very fast Web and Usenet search engine.As of April 1996 its word index is 33GB in size. AltaVista is currently (June 1996) the largest Web index, with 30 million pages from 225,000 servers, and three million articles from 14,000 Usenet news groups. It is accessed over 12 million times per weekday. . (1996-06-10)

Boolean search "information science" (Or "Boolean query") A query using the {Boolean} operators, {AND}, {OR}, and {NOT}, and parentheses to construct a complex condition from simpler criteria. A typical example is searching for combinatons of keywords on a {web} {search engine}. Examples: car or automobile "New York" and not "New York state" The term is sometimes stretched to include searches using other operators, e.g. "near". Not to be confused with {binary search}. See also: {weighted search}. (1999-10-23)

Boolean search ::: (information science) (Or Boolean query) A query using the Boolean operators, AND, OR, and NOT, and parentheses to construct a complex condition from simpler criteria. A typical example is searching for combinatons of keywords on a World-Wide Web search engine.Examples: car or automobile The term is sometimes stretched to include searches using other operators, e.g. near.Not to be confused with binary search.See also: weighted search. (1999-10-23)

bot 1. "networking, chat, web" (From "{robot}") Any type of autonomous {software} that operates as an {agent} for a user or a {program} or simulates a human activity. On the {Internet}, the most popular bots are programs (called {spiders} or crawlers) used for searching. They access {web sites}, retrieve documents and follow all the {hypertext links} in them; then they generate catalogs that are accessed by {search engines}. A {chatbot} converses with humans (or other bots). A {shopbot} searches the Web to find the best price for a product. Other bots (such as {OpenSesame}) observe a user's patterns in navigating a website and customises the site for that user. A {knowbot} collects specific information from {websites}. 2. "security" A computer that has been conscripted into a {botnet}. (2019-03-16)

bot ::: (networking, chat, World-Wide Web) (From robot) Any type of autonomous software that operates as an agent for a user or a program or simulates a human follow all the hyperlinks in them; then they generate catalogs that are accessed by search engines.A chatbot converses with humans (or other bots). A shopbot searches the Web to find the best price for a product. Other bots (such as OpenSesame) observe a user's patterns in navigating a website and customises the site for that user.Knowbots collect specific information from websites. (1999-05-20)

search engine "web, tool, information science" A remotely accessible program that lets you do keyword searches for information on the {Internet}. There are several types of search engine; the search may cover titles of documents, {URLs}, headers, or the {full text}. {A list of search engines (http://cuiwww.unige.ch/meta-index.html

search engine ::: (World-Wide Web, tool, information science) A remotely accessible program that lets you do keyword searches for information on the Internet. There are several types of search engine; the search may cover titles of documents, URLs, headers, or the full text. , Centre Universitaire d'Informatique at the University of Geneva (1995-11-28)

engine ::: (jargon) 1. A piece of hardware that encapsulates some function but can't be used without some kind of front end. Today we have, especially, print engine: the guts of a laser printer.2. An analogous piece of software; notionally, one that does a lot of noisy crunching, such as a database engine, or search engine.The hackish senses of engine are actually close to its original, pre-Industrial-Revolution sense of a skill, clever device, or instrument (the which explains why he named the stored-program computer that he designed in 1844 the Analytical Engine.[Jargon File] (1996-05-31)

engine "jargon" 1. A piece of {hardware} that encapsulates some function but can't be used without some kind of {front end}. Today we have, especially, "{print engine}": the guts of a {laser printer}. 2. An analogous piece of software; notionally, one that does a lot of noisy {crunching}, such as a "database engine", or "{search engine}". The hackish senses of "engine" are actually close to its original, pre-Industrial-Revolution sense of a skill, clever device, or instrument (the word is cognate to "ingenuity"). This sense had not been completely eclipsed by the modern connotation of power-transducing machinery in {Charles Babbage}'s time, which explains why he named the stored-program computer that he designed in 1844 the "{Analytical Engine}". [{Jargon File}] (1996-05-31)

Google "web" The {web} {search engine} that indexes the greatest number of web pages - over two billion by December 2001 and provides a free service that searches this index in less than a second. The site's name is apparently derived from "{googol}", but note the difference in spelling. The "Google" spelling is also used in "The Hitchhikers Guide to the Galaxy" by Douglas Adams, in which one of Deep Thought's designers asks, "And are you not," said Fook, leaning anxiously foward, "a greater analyst than the Googleplex Star Thinker in the Seventh Galaxy of Light and Ingenuity which can calculate the trajectory of every single dust particle throughout a five-week Dangrabad Beta sand blizzard?" {(http://google.com/)}. (2001-12-28)

Google ::: (World-Wide Web) The World-Wide Web search engine that indexes the greatest number of web pages - over two billion by December 2001 and provides a free service that searches this index in less than a second.The site's name is apparently derived from googol, but note the difference in spelling.The Google spelling is also used in The Hitchhikers Guide to the Galaxy by Douglas Adams, in which one of Deep Thought's designers asks, And are you not, trajectory of every single dust particle throughout a five-week Dangrabad Beta sand blizzard? .(2001-12-28)

index (Plural "indices" or "indexes") 1. "programming" A number used to select an element of a list, vector, {array} or other sequence. Such indices are nearly always non-negative integers but see {associative array}. 2. "database" See {inverted index}. [Other kinds?] 3. "web" A {search engine}. 4. "web" A {subject index}. [{Jargon File}] (1997-04-09)

index ::: (Plural indices or indexes)1. (programming) A number used to select an element of a list, vector, array or other sequence. Such indices are nearly always non-negative integers but see associative array.2. (database) See inverted index. [Other kinds?]3. (World-Wide Web) A search engine.4. (World-Wide Web) A subject index.4. (jargon) See coefficient of X.[Jargon File] (1997-04-09)

portal "web" A {website} that aims to be an entry point to the {web}, typically offering a {search engine} and/or links to useful pages, and possibly news or other services. These services are usually provided for free in the hope that users will make the site their default {home page} or at least visit it often. Popular examples are {Yahoo} and {MSN}. Most portals on the {Internet} exist to generate advertising income for their owners, others may be focused on a specific group of users and may be part of an {intranet} or {extranet}. Some may just concentrate on one particular subject, say technology or medicine, and are known as a {vertical portals}. (2001-07-07)

query ::: 1. (database, information science) A user's (or agent's) request for information, generally as a formal request to a database or search engine.SQL is the most common database query language.2. (character) question mark. (1997-04-09)

query 1. "database, information science" A user's (or {agent}'s) request for information, generally as a formal request to a {database} or {search engine}. {SQL} is the most common {database query language}. 2. "character" {question mark}. (1997-04-09)

query expansion ::: (information science) Adding search terms to a user's search. Query expansion is the process of a search engine adding search terms to a user's additional terms may be taken from a thesaurus. For example a search for car may be expanded to: car cars auto autos automobile automobiles.The additional terms may also be taken from documents that the user has specified as being relevant; this is the basis for the more like this feature of some search engines.The extra terms can have positive or negative weights. (1999-08-27)

query expansion "information science" Adding {search terms} to a user's search. Query expansion is the process of a {search engine} adding {search terms} to a user's {weighted search}. The intent is to improve {precision} and/or {recall}. The additional terms may be taken from a {thesaurus}. For example a search for "car" may be expanded to: car cars auto autos automobile automobiles. The additional terms may also be taken from documents that the user has specified as being relevant; this is the basis for the "more like this" feature of some search engines. The extra terms can have positive or negative weights. (1999-08-27)

relevance "information science" A measure of how closely a given object (file, {web page}, database {record}, etc.) matches a user's search for information. The relevance {algorithms} used in most large web {search engines} today are based on fairly simple word-occurence measurement: if the word "daffodil" occurs on a given page, then that page is considered relevant to a {query} on the word "daffodil"; and its relevance is quantised as a factor of the number of times the word occurs in the page, on whether "daffodil" occurs in title of the page or in its META keywords, in the first {N} words of the page, in a heading, and so on; and similarly for words that a {stemmer} says are based on "daffodil". More elaborate (and resource-expensive) relevance algorithms may involve thesaurus (or {synonym ring}) lookup; e.g. it might rank a document about narcissuses (but which may not mention the word "daffodil" anywhere) as relevant to a query on "daffodil", since narcissuses and daffodils are basically the same thing. Ditto for queries on "jail" and "gaol", etc. More elaborate forms of thesaurus lookup may involve multilingual thesauri (e.g. knowing that documents in Japanese which mention the Japanese word for "narcissus" are relevant to your search on "narcissus"), or may involve thesauri (often auto-generated) based not on equivalence of meaning, but on word-proximity, such that "bulb" or "bloom" may be in the thesaurus entry for "daffodil". {Word spamming} essentially attempts to falsely increase a web page's relevance to certain common searches. See also {subject index}. (1997-04-09)

relevance ::: (information science) A measure of how closely a given object (file, web page, database record, etc.) matches a user's search for information.The relevance algorithms used in most large web search engines today are based on fairly simple word-occurence measurement: if the word daffodil occurs on a or in its META keywords, in the first N words of the page, in a heading, and so on; and similarly for words that a stemmer says are based on daffodil.More elaborate (and resource-expensive) relevance algorithms may involve thesaurus (or synonym ring) lookup; e.g. it might rank a document about to a query on daffodil, since narcissuses and daffodils are basically the same thing. Ditto for queries on jail and gaol, etc.More elaborate forms of thesaurus lookup may involve multilingual thesauri (e.g. knowing that documents in Japanese which mention the Japanese word for word-proximity, such that bulb or bloom may be in the thesaurus entry for daffodil.Word spamming essentially attempts to falsely increase a web page's relevance to certain common searches.See also subject index. (1997-04-09)

Schachter's Hypothesis "web" The observation that "Given two unrelated technical terms, an {Internet} {search engine} will retrieve only résumés". This was first formulated by {Joshua Eli Schachter (http://burri.to/~joshua/)} in about 1998, while poring over the uniformly irrelevant pages that resulted from a search he'd run on "+{Perl} +{MAPI}" in {Altavista}. (2002-02-04)

Schachter's Hypothesis ::: (World-Wide Web) The observation that Given two unrelated technical terms, an Internet search engine will retrieve only r�sum�s. This was first uniformly irrelevant pages that resulted from a search he'd run on +Perl +MAPI in Altavista.(2002-02-04)

search term "information science" An element of a search or query. A search term is the basic building block of a {boolean search} or a {weighted search}. In a search engine a search term is typically a word, phrase, or pattern match expression. For example: cosmonaut or "space travel" or astronaut* In a {database} a term is typically the comparison of a column with a constant or with another column. For example: last_name like 'Smith%' (1999-08-27)

search term ::: (information science) An element of a search or query. A search term is the basic building block of a boolean search or a weighted search. In a search engine a search term is typically a word, phrase, or pattern match expression. For example: cosmonaut or space travel or astronaut*In a database a term is typically the comparison of a column with a constant or with another column. For example: last_name like 'Smith%' (1999-08-27)

Search The Fucking Web "web, jargon" (Always abbreviated STFW) A response implying that an inquirer could have easily found an answer to his question using {Google} or some other {web} {search engine}. It is now often quicker and more productive to search the {World-Wide Web} than to {RTFM}. {JFGI}, {GIYF} and {lmgtfy.com} convey the same message. (2014-05-23)

Search The Fucking Web ::: (World-Wide Web, jargon) (always abbreviated STFW) A response implying that an inquirer could have easily found an answer to his question using a World-Wide Web search engine such as Google. It is now often quicker and more productive to search the World-Wide Web than to RTFM.(2003-09-11)

subject index "information science" An information resource that contains references to other resources, categorised by subject, usually in a {hierarchy}. {Yahoo} is the most popular {Internet} subject index. Like most {other subject indices (http://yahoo.com/Computers_and_Internet/Internet/World_Wide_Web/Searching_the_Web/Web_Directories/)}, Yahoo is arranged {ontologically}. Subject indices are not to be confused with {search engines}, which are based not on subject, but instead on {relevance}, although (1) this difference is often (possibly rightly) hidden from the unsophisticated user, and (2) future integration of {knowledge representation} into relevance ranking {algorithms} will make this a hazy distinction. (1997-04-09)

subject index ::: (information science) An information resource that contains references to other resources, categorised by subject, usually in a hierarchy.Yahoo is the most popular Internet subject index. Like most , Yahoo is arranged ontologically.Subject indices are not to be confused with search engines, which are based not on subject, but instead on relevance, although (1) this difference is often integration of knowledge representation into relevance ranking algorithms will make this a hazy distinction. (1997-04-09)


Search Engine:
  


WebCrawler "web" A free {web} {search engine} developed by Brian Pinkerton at the {University of Washington} and now moved to {America Online, Inc}. WebCrawler collects {URLs} by searching the {Internet} and allows users to perform keyword searches through a web {browser}. {(http://webcrawler.com/)}. (1995-11-28)

WebCrawler ::: (World-Wide Web) A free World-Wide Web search engine developed by Brian Pinkerton at the University of Washington and now moved to America Online, Inc. WebCrawler collects URLs by searching the Internet and allows users to perform keyword searches through a World-Wide Web browser. . (1995-11-28)

web hosting "web, business" Running {web servers} for other businesses or individuals, usually as a commercial venture. Basic web hosting would allow customers to upload own {web site} content - {HTML} pages, {images}, {video} - typically via {FTP}, to a shared web server which other people can access via the {Internet}. A {web hosting (http://webhostingsearch.com/)} businesses may provide any or all of the functions required by a website including: networking, HTTP server software, content storage, {content management}, running customer or off-the-shelf {CGI} programs, {ASP} scripts or other server extentions, {load balancing}, {streaming content}, {domain name} registration, {DNS} serving, {electronic mail} storage and forwarding, {database}, {shell account}, content design and creation, {search engine optimisation}, {web log} analysis and web applications such as on-line shopping with financial transaction processing. (2011-12-24)

weighted search "information science" A search based on frequencies of the {search terms} in the documents being searched. Weighted search is often used by {search engines}. It produces a numerical score for each possible document. A document's score depends on the frequency of each {search term} in that document compared with the overall frequency of that term in the entire corpus of documents. A common approach is called tf.idf which stands for term frequency * inverse document frequency. Term frequency means "the more often a term occurs in a document, the more important it is in describing that document." {http://ciir.cs.umass.edu/cmpsci646/ir4/tsld034.htm} Inverse document frequency means the more documents a term appears in, the less important the term is. A simple weighted search is just a list of search terms, for example: car automobile Weighted search is often contrasted with {boolean search}. It is possible to have a search that syntactically is a boolean search but which also does a weighted search. See also {query expansion}. For a detailed technical discussion see Chapter 5, "Search Strategies", in the reference below. [{"Information Retrieval", C. J. van Rijsbergen, (http://dcs.gla.ac.uk/Keith/Chapter.5/Ch.5.html)}]. (1999-08-28)

word spamming "web, information science" Repeating a word many times in a {web page}, in a (usually futile) attempt to increase its {relevance} ranking in a {search engine}'s index (to "{spam}" the index). "Repeating a word over and over in a Web page (known as word spamming) has no effect on the [page's] ranking [in the index]." -- {Altavista FAQ (http://altavista.digital.com/cgi-bin/query?pg=tmpl&v=faq.html)}. See also {spamdex}. (1997-04-09)

word spamming ::: (World-Wide Web, information science) Repeating a word many times in a web page, in a (usually futile) attempt to increase its relevance ranking in a search engine's index (to spam the index).Repeating a word over and over in a Web page (known as word spamming) has no effect on the [page's] ranking [in the index]. -- .See also spamdex. (1997-04-09)



QUOTES [1 / 1 - 72 / 72]


KEYS (10k)

   1 Amit Singhal

NEW FULL DB (2.4M)

   4 Sergey Brin
   4 Larry Page
   3 Tim Wu
   3 Peter Thiel
   3 Douglas Rushkoff
   3 Clive Thompson
   2 Timothy Ferriss
   2 Stuart J Russell
   2 Matt Cutts
   2 David Naylor

1:11:The destiny of [Google's search engine] is to become that Star Trek computer, and that's what we are building. ~ Amit Singhal,

*** WISDOM TROVE ***

*** NEWFULLDB 2.4M ***

1:Yahoo today is not a portal. Yahoo today is a search engine. ~ Jack Ma,
2:I'd rather have a search engine or a compiler on a deserted island than a game. ~ John Carmack,
3:The Google search engine is, arguably, the greatest AI system that has yet been built. ~ Nick Bostrom,
4:What I need is a search engine that, no matter what I type in, comes back with GO BACK TO WORK. ~ Dave Barry,
5:A world where everyone creates content gets confusing pretty quickly without a good search engine. ~ Ethan Zuckerman,
6:The ultimate search engine... would understand exactly what you mean and give back exactly what you want. ~ Larry Page,
7:The destiny of [Google's search engine] is to become that Star Trek computer, and that's what we are building. ~ Amit Singhal,
8:The thirteenth search engine- and without all the features of a web portal, most people thought that was pointless. ~ Sam Altman,
9:My practical approach based on experience is to create a website for real Internet users, not for search engine spiders. ~ David Naylor,
10:Google started as a free search engine. It's still free, but now it's making a lot of money on ads, right? A lot of money. ~ Terry Gross,
11:Good SEO work only gets better over time. It's only search engine tricks that need to keep changing when the ranking algorithms change. ~ Jill Whalen,
12:Google will fulfill its mission only when its search engine is AI-complete. You guys know what that means? That's artificial intelligence. ~ Larry Page,
13:Advertising always corrupts the goal of the search engine, which is to try to give you the most important stuff, not the stuff someone paid there to be there. ~ Tim Wu,
14:Google actually relies on our users to help with our marketing. We have a very high percentage of our users who often tell others about our search engine. ~ Sergey Brin,
15:As always, Google—or any other search engine of your choice—is another great source of information, search “how to write” + your genre, and see what comes up. ~ Emlyn Chand,
16:The first move was to turn to the one great, perfectly visible and certified revolution in the recent history of the human race [the Google search-engine]. ~ Nicola Lagioia,
17:The ultimate search engine would basically understand everything in the world, and it would always give you the right thing. And we're a long, long ways from that. ~ Larry Page,
18:[Making meth] is a complex process. The truth of it is that we live in a post-Google world where you can find six recipes for meth in 30 seconds on a search engine. ~ Vince Gilligan,
19:For a generation of customers used to doing their buying research via search engine, a company’s brand is not what the company says it is, but what Google says it is. ~ Chris Anderson,
20:The kind of environment that we developed Google in, the reason that we were able to develop a search engine, is the web was so open. Once you get too many rules, that will stifle innovation. ~ Sergey Brin,
21:Just as infinite access to free music ultimately leads to no one making a living at music anymore, free journalism just doesn't pay for itself - particularly not when a search engine is serving all the ads. ~ Douglas Rushkoff,
22:Some say Google is God. Others say Google is Satan. But if they think Google is too powerful, remember that with search engines unlike other companies, all it takes is a single click to go to another search engine. ~ Sergey Brin,
23:Two different people appealing to a search engine with the same question do not necessarily receive the same answers. The concept of truth is being relativized and individualized—losing its universal character. ~ Henry Kissinger,
24:Net neutrality would require that every search engine produce an equal number of results that satisfy every disagreement about the issue... Just think of it as Fairness Doctrine for the Internet. I'm not making this up. ~ Rush Limbaugh,
25:Google (and pretty much every other major search engine) uses hyperlinks to help determine reputation. Links are usually editorial votes given by choice, and link-based analysis has greatly improved the quality of web search. ~ Matt Cutts,
26:You will look in vain for a European search engine, a European online retailer, a European social network. The biggest EU-based Internet company is Spotify, the Stockholm-based music and video streaming company founded in 2006. ~ Niall Ferguson,
27:The Web provides a very easy way to immediately grasp what's going on. It really offers the transparency, so you can see, especially with the search engine, how people are using Twitter at one glance. The phone doesn't allow for that. ~ Jack Dorsey,
28:The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won’t create a social network. If you are copying these guys, you aren’t learning from them. ~ Timothy Ferriss,
29:The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won’t create a social network. If you are copying these guys, you aren’t learning from them.” • ~ Timothy Ferriss,
30:EVERY MOMENT IN BUSINESS happens only once. The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won’t create a social network. If you are copying these guys, you aren’t learning from them. ~ Peter Thiel,
31:EVERY MOMENT IN business happens only once. The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won’t create a social network. If you are copying these guys, you aren’t learning from them. ~ Peter Thiel,
32:We want people doing white hat search engine optimization (or even no search engine optimization at all) to be free to focus on creating amazing, compelling web sites. As always, we’ll keep our ears open for feedback on ways to iterate and improve our ranking algorithms toward that goal. ~ Matt Cutts,
33:ZERO TO ONE EVERY MOMENT IN BUSINESS happens only once. The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won’t create a social network. If you are copying these guys, you aren’t learning from them. ~ Peter Thiel,
34:Apparently, the glasses didn’t need to be connected to the internet for the wearer to poke into someone’s personal life. Even though a search engine could lead to an individual’s address, the browser couldn’t actually physically take you there. What had this inventor done? Did he have any idea? ~ Chess Desalls,
35:In spite of my own reservations about Bing's ability to convert Google users, I have to admit that the search engine does offer a genuine alternative to Google-style browsing, a more coherently organized selection of links, and a more advertiser-friendly environment through which to sell space and links. ~ Douglas Rushkoff,
36:The aim of the Internet and its associated technologies was to “liberate” humanity from the tasks—making things, learning things, remembering things—that had previously given meaning to life and thus had constituted life. Now it seemed as if the only task that meant anything was search-engine optimization. ~ Jonathan Franzen,
37:In our opinion, most search engine optimization (SEO) is bullshit. It involves trying to read Google’s mind and then gaming the system to make Google find crap. There are three thousand computer science PhDs at Google trying to make each search relevant, and then there’s you trying to fool them. Who’s going to win? ~ Guy Kawasaki,
38:In 1998, if you searched “cars” on a popular pre-Google search engine, you were inundated with porn sites. These porn sites had written the word “cars” frequently in white letters on a white background to trick the search engine. They then got a few extra clicks from people who meant to buy a car but got distracted by the porn. ~ Seth Stephens Davidowitz,
39:Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the Web. It would understand exactly what you wanted, and it would give you the right thing. We're nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on. ~ Larry Page,
40:A search engine often draws our attention to a particular snippet of text, a few words or sentences that have strong relevance to whatever we're searching for at the moment, while providing little incentive for taking in the work as a whole. We don't see the forest when we search the Web. We don't even see the trees. We see twigs and leaves. ~ Nicholas Carr,
41:Today, the fastest and easiest way of knowing is Google-knowing, which means not just “knowledge by search engine” but the way we are increasingly dependent on knowing via digital means. That can be a good thing; but it can also weaken and undermine other ways of knowing, ways that require more creative, holistic grasps of how information connects together. ~ Michael P Lynch,
42:Kat gushes about Google's projects, all revealed to her now. They are making a 3-D web browser. They are making a car that drives itself. They are making a sushi search engine -- here she pokes a chopstick down at our dinner -- to help people find fish that is sustainable and mercury-free. They are building a time machine. They are developing a form of renewable energy that runs on hubris. ~ Robin Sloan,
43:So when I hear this snarky question (and I hear it everywhere): Are librarians obsolete in the Age of Google? all I can say is, are you kidding? Librarians are more important than ever. Google and Yahoo! and Bing and WolframAlpha can help you find answers to your questions, sometimes brilliantly; but if you don't know how to phrase those questions, no search engine can help provide the answers. ~ Marilyn Johnson,
44:You're able to use a search engine, like Google or Bing or whatever. But those engines don't understand anything about pages that they give you; they essentially index the pages based on the words that you're searching, and then they intersect that with the words in your query, and they use some tricks to figure out which pages are more important than others. But they don't understand anything. ~ Stuart J Russell,
45:Google - and some of the other sites, YouTube and, you know - Google has an amazing search engine. The map product is incredible. So there's a sort of exchange when you put up with a bunch of ads. Facebook basically gives you access to your friends who, in theory, you had access to already. So sometimes I don't really understand the deal, but I guess it makes it slightly easier. So that's their contribution. ~ Tim Wu,
46:What’s more, attempting to score a teacher’s effectiveness by analyzing the test results of only twenty-five or thirty students is statistically unsound, even laughable. The numbers are far too small given all the things that could go wrong. Indeed, if we were to analyze teachers with the statistical rigor of a search engine, we’d have to test them on thousands or even millions of randomly selected students. ~ Cathy O Neil,
47:Google's AdWords, they allow you to bid on words that people will type into the search engine, and they cost more or less. For example, I think mortgage refinancing can cost - now, it's probably hundreds, maybe thousands of dollars. So, in other words, they are allowing you to bid on what people are going to type, and that is the AdWords program. So you own certain terms, and then your ads show up as opposed to someone else's. ~ Tim Wu,
48:Paid Triggers Advertising, search engine marketing, and other paid channels are commonly used to get users’ attention and prompt them to act. Paid triggers can be effective but costly ways to keep users coming back. Habit-forming companies tend not to rely on paid triggers for very long, if at all. Imagine if Facebook or Twitter needed to buy an ad to prompt users to revisit their sites — these companies would soon go broke. ~ Nir Eyal,
49:There are different types of censorship. There is the outright ban on a book type. Then there are the type where the ones who can give it voice, squash it by burying it under search engine algorithms and under other news, videos or books of their own agenda or publication. A smart consumer should be free to choose what to read and what to believe. That choice on a consumer-oriented website, is really what is best for the consumer. - Strong by Kailin Gow ~ Kailin Gow,
50:As we get older, excessive protein causes the cell to turn a blind eye to aging. But limiting it triggers a beautifully orchestrated network of internal processes that wards off disease, stretching out life and increasing the probability of exercising nature’s imperative to reproduce. I put all this and more into a talk I gave in 2006 titled “Protein—the Good, the Bad, and the Ugly,” which is available online if you type the title into a search engine. ~ Joseph Mercola,
51:But suppose we say that Google is primarily an advertising company. That changes things. The U.S. search-engine advertising market is $17 billion annually. Online advertising is $37 billion annually. The entire U.S. advertising market is $150 billion. And global advertising is a $495 billion market. So even if Google completely monopolized U.S. search-engine advertising, it would own just 3.4% of the global advertising market. From this angle, Google looks like a small player in a competitive world. ~ Anonymous,
52:The other night I searched (the Web) for 'self-transforming elf machines.' There were 36 hits! It surprised me. I sort of use the search engine like an oracle. I've used the phrase for DMT, 'Arabian hyperspace.' So I thought of this, and then I searched it, 'Arabian hyperspace,' in quotes. And it took me right to a transcript of the talk in which I'd said the thing! You can find your own mind on the Internet. I'm very grateful to the people who type up my talks and then post them at their websites. ~ Terence McKenna,
53:In our opinion, most search engine optimization (SEO) is bullshit. It involves trying to read Google’s mind and then gaming the system to make Google find crap. There are three thousand computer science PhDs at Google trying to make each search relevant, and then there’s you trying to fool them. Who’s going to win? Tricking Google is futile. Instead, you should let Google do what it does best: find great content. So defy all the SEO witchcraft out there and focus on creating, curating, and sharing great content. This is what’s called SMO: social-media optimization ~ Guy Kawasaki,
54:This is because computer science has traditionally been all about thinking deterministically, but machine learning requires thinking statistically. If a rule for, say, labeling e-mails as spam is 99 percent accurate, that does not mean it’s buggy; it may be the best you can do and good enough to be useful. This difference in thinking is a large part of why Microsoft has had a lot more trouble catching up with Google than it did with Netscape. At the end of the day, a browser is just a standard piece of software, but a search engine requires a different mind-set. ~ Pedro Domingos,
55:When I became the White House press secretary, my mom looked me up and was shocked and upset by the things she read. I told her that we needed a rule—she could not put my name in any search engine under any circumstances. And she couldn’t go searching for the criticism either. My advice is to ignore the chatter. (It’s amazing—if you’re not listening, you can’t hear it!) If criticism builds to a point where you or someone on your behalf needs to respond, the chances are it will be brought to your attention. You don’t need to go searching for negativity. Trust me—it’ll find you. ~ Dana Perino,
56:Consider your own answers to these questions. In the past two months, either privately or professionally, in order to find an answer to a problem or research (or buy) a product, have you: (1) Responded to a direct-mail advertisement? (2) Used magazines, newspapers, TV, or radio? (3) Used Google or another search engine? (4) Emailed a friend, colleague, or family member (or used instant messaging, chat rooms, or equivalent) and received as a response a URL, which you then clicked to visit the web site? (Apologies to those of you who have answered these questions already.) ~ David Meerman Scott,
57:40. Be Defiant In our opinion, most search engine optimization (SEO) is bullshit. It involves trying to read Google’s mind and then gaming the system to make Google find crap. There are three thousand computer science PhDs at Google trying to make each search relevant, and then there’s you trying to fool them. Who’s going to win? Tricking Google is futile. Instead, you should let Google do what it does best: find great content. So defy all the SEO witchcraft out there and focus on creating, curating, and sharing great content. This is what’s called SMO: social-media optimization. ~ Guy Kawasaki,
58:If we were to construct a similar map for society, it would have to include each person’s professional and personal interests and chart everyone she or he knew. It would make Milgram’s experiment seem clumsy and obsolete by allowing us to find, in seconds, the shortest path to any person in the world. It would be a must-use tool for everyone from politicians to salespeople and epidemiologists. Of course, such a social search engine is impossible to build, since it would take at least a lifetime to interrogate all 6 billion people on the earth to learn about their friends and acquaintances. ~ Albert L szl Barab si,
59:This unique and deep meaning of power laws perhaps explains our excitement when we first spotted them on the Web. It wasn't only that they were unprecedented and unexpected in the context of networks. It was that they lifted complex networks out of the jungle of randomness where Erdos and Renyi had placed them forty years earlier and dropped them into the center of the colorful and conceptually rich arena of self-organization. Gazing at the power laws that our little search engine carried home from its journey, we caught a glimpse of a new and unsuspected order within networks, one that displayed an uncommon beauty and coherence. ~ Albert L szl Barab si,
60:True, the Web produces acute concentration. A large number of users visit just a few sites, such as Google, which, at the time of this writing, has total market dominance. At no time in history has a company grown so dominant so quickly—Google can service people from Nicaragua to southwestern Mongolia to the American West Coast, without having to worry about phone operators, shipping, delivery, and manufacturing. This is the ultimate winner-take-all case study. People forget, though, that before Google, Alta Vista dominated the search-engine market. I am prepared to revise the Google metaphor by replacing it with a new name for future editions of this book. ~ Nassim Nicholas Taleb,
61:As an information architect, framing is a vital part of my work, but it’s not what organizations ask me to do. For example, the National Cancer Institute hired me to fix the usability of their website by reorganizing its navigation. The goal was to reduce the number of clicks from the home page to content. But I soon discovered a bigger problem. Most folks searching for answers about specific types of cancer never reached cancer.gov due to poor findability via Google. I only saw this problem because I knew how to solve it. I explained to my client that by aligning the information architecture with search engine optimization, we could improve usability and findability. Together, we were able to reframe the goals. The site went on to win awards and rise to the top of the American Customer Satisfaction Index. ~ Peter Morville,
62:Historically, noted James Manyika, one of the authors of the McKinsey report, companies kept their eyes on competitors “who looked like them, were in their sector and in their geography.” Not anymore. Google started as a search engine and is now also becoming a car company and a home energy management system. Apple is a computer manufacturer that is now the biggest music seller and is also going into the car business, but in the meantime, with Apple Pay, it’s also becoming a bank. Amazon, a retailer, came out of nowhere to steal a march on both IBM and HP in cloud computing. Ten years ago neither company would have listed Amazon as a competitor. But Amazon needed more cloud computing power to run its own business and then decided that cloud computing was a business! And now Amazon is also a Hollywood studio. ~ Thomas L Friedman,
63:Patients, beings who want to be rehabilitated, send me questions See? I answer them real fast, 1 2 3 done Like so You get?' Toby said, his pale green fingers clattering across the keyboard.

'I think so,' I said, shifting in my chair.

'Okay hear we go First question: I just moved to a new city and there's a school next door All the kids, every last student, wear the same clothes Are they all related Is this one of those mafia families I need to be careful around You know the answer? Toby asked, swiveling to face me.

'Perhaps,' I said after thinking a moment. It took a second to distinguish when the question ended and when Toby's remarks started.

'You sure, I can check real quick 1 2 3 I check that fast,' Toby said, his words zooming out of his mouth while Google search engine popped up on his computer screen. ~ K M Shea,
64:because of the huge number of pages and links involved, Page and Brin named their search engine Google, playing off googol, the term for the number 1 followed by a hundred zeros. It was a suggestion made by one of their Stanford officemates, Sean Anderson, and when they typed in Google to see if the domain name was available, it was. So Page snapped it up. “I’m not sure that we realized that we had made a spelling error,” Brin later said. “But googol was taken, anyway. There was this guy who’d already registered Googol.com, and I tried to buy it from him, but he was fond of it. So we went with Google.”157 It was a playful word, easy to remember, type, and turn into a verb.IX Page and Brin pushed to make Google better in two ways. First, they deployed far more bandwidth, processing power, and storage capacity to the task than any rival, revving up their Web crawler so that it was indexing a hundred pages per second. In addition, they were fanatic in studying user behavior so that they could constantly tweak their algorithms. ~ Walter Isaacson,
65:In April 2004, Google had one of its countless minicrises, over an anti-Semitic website called Jew Watch. When someone typed “Jew” into Google’s search box, the first result was often a link to that hate site. Critics urged Google to exclude it in its search results. Brin publicly grappled with the dilemma. His view on what Google should do—maintain the sanctity of search—was rational, but a tremor in his voice betrayed how much he was troubled that his search engine was sending people to a cesspool of bigotry. “My reaction was to be really upset about it,” he admitted at the time. “It was certainly not something I want to see.” Then he launched into an analysis of why Google’s algorithms yielded that result, mainly because the signals triggered by the keyword “Jew” reflected the frequent use of that abbreviation as a pejorative. The algorithms had spoken, and Brin’s ideals, no matter how heartfelt, could not justify intervention. “I feel like I shouldn’t impose my beliefs on the world,” he said. “It’s a bad technology practice. ~ Steven Levy,
66:I decided to skip it and head to the library to do some research on Keepers. The place was practically deserted at this time of day, giving me my pick of computer terminals. I sat down at one in the corner and woke up the screen with a push of the mouse. A pop-up box with a smiley face and the words “Hello, student!” immediately displayed on the screen. The animation phenomenon was particularly prevalent in the library.

I gritted my teeth and contemplated switching to another terminal in the hopes that it would be less lively than this one, but decided it wasn’t worth the time. None of the computers in here were new.

In the text box below the greeting I typed “hi thanks” and pressed enter.

The pop-up disappeared, giving me access to the library’s custom search engine. I typed “keeper” and “ring” in the box and pressed the search button.

Another pop-up appeared on the screen: “Are you sure you want to search for that?”

“Yes,” I typed.

“Lots of people aren’t, you know, sure.” The smile on the smiley face widened.

“I’m sure.”

“Sure, sure?”

“YES!!!” I pounded on the keys, trying to get the point across.

The smiley face frowned. “Okay, but don’t say I didn’t warn you.”

At last, the stupid thing displayed the results, and I sighed in relief. ~ Mindee Arnett,
67:But the Turing test cuts both ways. You can't tell if a machine has gotten smarter or if you've just lowered your own standards of intelligence to such a degree that the machine seems smart. If you can have a conversation with a simulated person presented by an AI program, can you tell how far you've let your sense of personhood degrade in order to make the illusion work for you?

People degrade themselves in order to make machines seem smart all the time. Before the crash, bankers believed in supposedly intelligent algorithms that could calculate credit risks before making bad loans. We ask teachers to teach to standardized tests so a student will look good to an algorithm. We have repeatedly demonstrated our species' bottomless ability to lower our standards to make information technology look good. Every instance of intelligence in a machine is ambiguous.

The same ambiguity that motivated dubious academic AI projects in the past has been repackaged as mass culture today. Did that search engine really know what you want, or are you playing along, lowering your standards to make it seem clever? While it's to be expected that the human perspective will be changed by encounters with profound new technologies, the exercise of treating machine intelligence as real requires people to reduce their mooring to reality. ~ Jaron Lanier,
68:Google had a built-in disadvantage in the social networking sweepstakes. It was happy to gather information about the intricate web of personal and professional connections known as the “social graph” (a term favored by Facebook’s Mark Zuckerberg) and integrate that data as signals in its search engine. But the basic premise of social networking—that a personal recommendation from a friend was more valuable than all of human wisdom, as represented by Google Search—was viewed with horror at Google. Page and Brin had started Google on the premise that the algorithm would provide the only answer. Yet there was evidence to the contrary. One day a Googler, Joe Kraus, was looking for an anniversary gift for his wife. He typed “Sixth Wedding Anniversary Gift Ideas” into Google, but beyond learning that the traditional gift involved either candy or iron, he didn’t see anything creative or inspired. So he decided to change his status message on Google Talk, a line of text seen by his contacts who used Gmail, to “Need ideas for sixth anniversary gift—candy ideas anyone?” Within a few hours, he got several amazing suggestions, including one from a colleague in Europe who pointed him to an artist and baker whose medium was cake and candy. (It turned out that Marissa Mayer was an investor in the company.) It was a sobering revelation for Kraus that sometimes your friends could trump algorithmic search. ~ Steven Levy,
69:Bruce Wayne Carmody had been unhappy for so long that it had stopped being a state he paid attention to. Sometimes Wayne felt that the world had been sliding apart beneath his feet for years. He was still waiting for it to pull him down, to bury him at last. His mother had been crazy for a while, had believed that the phone was ringing when it wasn’t, had conversations with dead children who weren’t there. Sometimes he felt she had talked more with dead children than she ever had with him. She had burned down their house. She spent a month in a psychiatric hospital, skipped out on a court appearance, and dropped out of Wayne’s life for almost two years. She spent a while on book tour, visiting bookstores in the morning and local bars at night. She hung out in L.A. for six months, working on a cartoon version of Search Engine that never got off the ground and a cocaine habit that did. She spent a while drawing covered bridges for a gallery show that no one went to. Wayne’s father got sick of Vic’s drinking, Vic’s wandering, and Vic’s crazy, and he took up with the lady who had done most of his tattoos, a girl named Carol who had big hair and dressed like it was still the eighties. Only Carol had another boyfriend, and they stole Lou’s identity and ran off to California, where they racked up a ten-thousand-dollar debt in Lou’s name. Lou was still dealing with creditors. Bruce Wayne Carmody wanted to love and enjoy his parents, and occasionally he did. But they made it hard. Which was why the papers in his back pocket felt like nitroglycerin, a bomb that hadn’t exploded yet. ~ Joe Hill,
70:were creating crawlers that would serve as search tools for the Web. These included the WWW Wanderer built by Matthew Gray at MIT, WebCrawler by Brian Pinkerton at the University of Washington, AltaVista by Louis Monier at the Digital Equipment Corporation, Lycos by Michael Mauldin at Carnegie Mellon University, OpenText by a team from Canada’s University of Waterloo, and Excite by six friends from Stanford. All of them used link-hopping robots, or bots, that could dart around the Web like a binge drinker on a pub crawl, scarfing up URLs and information about each site. This would then be tagged, indexed, and placed in a database that could be accessed by a query server. Filo and Yang did not build their own web crawler; instead they decided to license one to add to their home page. Yahoo! continued to emphasize the importance of its directory, which was compiled by humans. When a user typed in a phrase, the Yahoo! computers would see if it related to an entry in the directory, and if so that handcrafted list of sites would pop up. If not, the query would be handed off to the Web-crawling search engine. The Yahoo! team believed, mistakenly, that most users would navigate the Web by exploring rather than seeking something specific. “The shift from exploration and discovery to the intent-based search of today was inconceivable,” recalled Srinija Srinivasan, Yahoo!’s first editor in chief, who oversaw a newsroom of more than sixty young editors and directory compilers.114 This reliance on the human factor meant that Yahoo! would be much better than its rivals over the years (and even to the present) in choosing news stories, although not in providing search tools. ~ Walter Isaacson,
71:The Internet has co-opted the word “browse” for its own purposes, but it’s worth pointing out the difference between browsing in a virtual realm and browsing in the actual world. Depending on the terms entered, an Internet search engine will usually come up with hundreds, thousands, or millions of hits, which a person can then skate through, clicking when she sees something that most closely echoes her interest. It is a curious quality of the Internet that it can be composed of an unfathomable multitude and, at the same time, almost always deliver to the user the bits that feed her already-held interests and confirm her already-held beliefs. It points to a paradox that is, perhaps, one of the most critical of our time: To have access to everything may be to have nothing in particular. After all, what good does this access do if we can only find our way back to ourselves, the same selves, the same interests, the same beliefs over and over? Is what we really want to be solidified, or changed? If solidified, then the Internet is well-designed for that need. But, if we wish to be changed, to be challenged and undone, then we need a means of placing ourselves in the path of an accident. For this reason, the plenitude may narrow the mind. Amazon may curate the world for you, but only by sifting through your interests and delivering back to you variations on your well-rehearsed themes: Yes, I do love Handke! Yes, I had been meaning to read that obscure play by Thomas Bernhard! A bookstore, by contrast, asks you to scan the shelves on your way to looking for the thing you had in mind. You go in meaning to buy Hemingway, but you end up with Homer instead. What you think you like or want is not always what you need. A bookstore search inspires serendipity and surprise. ~ Nicole Krauss,
72:George Mumford, a Newton-based mindfulness teacher, one such moment took place in 1993, at the Omega Institute, a holistic learning center in Rhinebeck, New York. The center was hosting a retreat devoted to mindfulness meditation, the clear-your-head habit in which participants sit quietly and focus on their breathing. Leading the session: meditation megastar Jon Kabat-Zinn. Originally trained as a molecular biologist at MIT, Kabat-Zinn had gone on to revolutionize the meditation world in the 1970s by creating a more secularized version of the practice, one focused less on Buddhism and more on stress reduction and other health benefits. After dinner one night, Kabat-Zinn was giving a talk about his work, clicking through a slide show to give the audience something to look at. At one point he displayed a slide of Mumford. Mumford had been a star high school basketball player who’d subsequently hit hard times as a heroin addict, Kabat-Zinn explained. By the early 1980s, however, he’d embraced meditation and gotten sober. Now Mumford taught meditation to prison inmates and other unlikely students. Kabat-Zinn explained how they were able to relate to Mumford because of his tough upbringing, his openness about his addiction — and because, like many inmates, he’s African-American. Kabat-Zinn’s description of Mumford didn’t seem to affect most Omega visitors, but one participant immediately took notice: June Jackson, whose husband had just coached the Chicago Bulls to their third consecutive NBA championship. Phil Jackson had spent years studying Buddhism and Native American spirituality and was a devoted meditator. Yet his efforts to get Michael Jordan, Scottie Pippen, and their teammates to embrace mindfulness was meeting with only limited success. “June took one look at George and said, ‘He could totally connect with Phil’s players,’ ’’ Kabat-Zinn recalls. So he provided an introduction. Soon Mumford was in Chicago, gathering some of the world’s most famous athletes in a darkened room and telling them to focus on their breathing. Mumford spent the next five years working with the Bulls, frequently sitting behind the bench, as they won three more championships. In 1999 Mumford followed Phil Jackson to the Los Angeles Lakers, where he helped turn Kobe Bryant into an outspoken adherent of meditation. Last year, as Jackson began rebuilding the moribund New York Knicks as president, Mumford signed on for a third tour of duty. He won’t speak about the specific work he’s doing in New York, but it surely involves helping a new team adjust to Jackson’s sensibilities, his controversial triangle offense, and the particular stress that comes with compiling the worst record in the NBA. Late one April afternoon just as the NBA playoffs are beginning, Mumford is sitting at a table in O’Hara’s, a Newton pub. Sober for more than 30 years, he sips Perrier. It’s Marathon Monday, and as police begin allowing traffic back onto Commonwealth Avenue, early finishers surround us, un-showered and drinking beer. No one recognizes Mumford, but that’s hardly unusual. While most NBA fans are aware that Jackson is serious about meditation — his nickname is the Zen Master — few outside his locker rooms can name the consultant he employs. And Mumford hasn’t done much to change that. He has no office and does no marketing, and his recently launched website, mindfulathlete.org, is mired deep in search-engine results. Mumford has worked with teams that have won six championships, but, one friend jokes, he remains the world’s most famous completely unknown meditation teacher. That may soon change. This month, Mumford published his first book, The Mindful Athlete, which is part memoir and part instruction guide, and he has agreed to give a series of talks and book signings ~ Anonymous,

IN CHAPTERS [0/0]









WORDNET



--- Overview of noun search_engine

The noun search engine has 1 sense (no senses from tagged texts)
                
1. search engine ::: (a computer program that retrieves documents or files or data from a database or from a computer network (especially from the internet))


--- Synonyms/Hypernyms (Ordered by Estimated Frequency) of noun search_engine

1 sense of search engine                        

Sense 1
search engine
   => program, programme, computer program, computer programme
     => software, software program, computer software, software system, software package, package
       => code, computer code
         => coding system
           => writing
             => written communication, written language, black and white
               => communication
                 => abstraction, abstract entity
                   => entity


--- Hyponyms of noun search_engine

1 sense of search engine                        

Sense 1
search engine
   HAS INSTANCE=> Google
   HAS INSTANCE=> Yahoo
   HAS INSTANCE=> Ask Jeeves


--- Synonyms/Hypernyms (Ordered by Estimated Frequency) of noun search_engine

1 sense of search engine                        

Sense 1
search engine
   => program, programme, computer program, computer programme




--- Coordinate Terms (sisters) of noun search_engine

1 sense of search engine                        

Sense 1
search engine
  -> program, programme, computer program, computer programme
   => anti-virus program
   => application, application program, applications programme
   => binary, binary program
   => loop
   => malevolent program
   => patch
   => assembler, assembly program
   => checking program
   => compiler, compiling program
   => debugger
   => interface, user interface
   => interpreter, interpretive program
   => job control
   => library program
   => monitor program, monitoring program
   => object program, target program
   => source program
   => parser
   => tagger, tagging program
   => relocatable program
   => reusable program
   => Web Map Service, Web Map Server
   => search engine
   => self-adapting program
   => spider, wanderer
   => spreadsheet
   => stored program
   => supervisory program, supervisor, executive program
   => syntax checker
   => system program, systems program, systems software
   => text-matching
   => translator, translating program
   => utility program, utility, service program
   => LISP program
   => FORTRAN program
   => C program




--- Grep of noun search_engine
search engine



IN WEBGEN [10000/182]

Wikipedia - Aardvark (search engine) -- Knowledge market website
Wikipedia - Academic search engines
Wikipedia - Accoona -- Internet search engine company
Wikipedia - AltaVista -- Web search engine
Wikipedia - Archie (search engine) -- FTP search engine
Wikipedia - Audio search engine -- Search engine that returns audio results
Wikipedia - Aviasales.ru -- Russian flight ticket metasearch engine
Wikipedia - BackRub (search engine)
Wikipedia - BASE (search engine)
Wikipedia - Bing (search engine)
Wikipedia - Blekko -- Web search engine
Wikipedia - Category:Domain-specific search engines
Wikipedia - Category:Free search engine software
Wikipedia - Category:Internet search engines
Wikipedia - Category:Metasearch engines
Wikipedia - Category:Search engine software
Wikipedia - ChaCha (search engine) -- human-guided search engine
Wikipedia - Cheapflights -- Travel fare metasearch engine
Wikipedia - CiteSeerX -- Search engine and digital library for scientific and academic papers
Wikipedia - Collaborative search engine
Wikipedia - Comparison of web search engines
Wikipedia - Cue (search engine)
Wikipedia - Cuil -- Search engine
Wikipedia - DeepPeep -- Defunct search engine
Wikipedia - Deep web -- Content of the World Wide Web that is not indexed by search engines
Wikipedia - Draft:Imasse -- Web search engine
Wikipedia - Dragonfly (search engine)
Wikipedia - DuckDuckGo -- Internet search engine
Wikipedia - Ecosia -- Web search engine
Wikipedia - Elastic NV -- Company behind search engine Elasticsearch
Wikipedia - ETBLAST -- Free text similarity service search engine
Wikipedia - Expedia -- Online travel agency and metasearch engine
Wikipedia - Fireball (search engine) -- Search engine
Wikipedia - Funnelback -- Search engine platform
Wikipedia - Gigablast -- Free and open-source web search engine
Wikipedia - Giphy -- American online database and search engine
Wikipedia - Google Dataset Search -- Search engine for datasets from Google
Wikipedia - Google Hummingbird -- Search engine algorithm used by Google
Wikipedia - Google Images -- Image search engine by Google Inc.
Wikipedia - Google Knowledge Graph -- Knowledge base used by Google to enhance its search engine's results
Wikipedia - Google Ngram Viewer -- Online search engine
Wikipedia - Google Penguin -- Google search engine algorithm update
Wikipedia - Google Search -- Web search engine developed by Google
Wikipedia - Google (verb) -- Transitive verb, meaning to search for something using the Google search engine
Wikipedia - Google web search engine
Wikipedia - Goo (search engine)
Wikipedia - Grub (search engine)
Wikipedia - Human flesh search engine -- Chinese term for a form of Internet vigilantism
Wikipedia - Human search engine
Wikipedia - Hyper Search -- Method of link analysis for search engines
Wikipedia - Indeed -- American worldwide employment-related search engine for job listings
Wikipedia - Index (search engine)
Wikipedia - Infoseek -- Search engine
Wikipedia - Istorrent -- BitTorrent metasearch engine
Wikipedia - Job search engine
Wikipedia - Kartoo -- Meta search engine
Wikipedia - Kayak (company) -- Travel agency and metasearch engine owned and operated by Booking Holdings
Wikipedia - Kiddle (search engine) -- Search engine and online encyclopedia emphasizing safety for children
Wikipedia - Knowledge Engine (Wikimedia Foundation) -- Search engine project
Wikipedia - Lemur Toolkit > Indri Search Engine
Wikipedia - Liligo.com -- Metasearch engine
Wikipedia - List of academic databases and search engines -- Wikipedia list article
Wikipedia - List of search engines by popularity
Wikipedia - List of search engine software -- Wikipedia list article
Wikipedia - List of search engines -- Wikimedia list article
Wikipedia - Lycos -- Search engine and web portal
Wikipedia - MetaGer -- Privacy-focused internet search engine
Wikipedia - Meta search engine
Wikipedia - Metasearch engine
Wikipedia - Microsoft Bing -- Web search engine from Microsoft
Wikipedia - Mojeek -- Search engine
Wikipedia - Ms. Dewey -- Discontinued web search engine by Microsoft
Wikipedia - Natural language search engine
Wikipedia - Okapi BM25 -- Ranking function used by search engines
Wikipedia - Outline of search engines
Wikipedia - People Cards -- Knowledge base used by Google which lets individuals create their profile on its search engine.
Wikipedia - Qwant -- Search engine
Wikipedia - RARBG -- BitTorrent metasearch engine
Wikipedia - Referrer spam -- A kind of spamming aimed at search engines
Wikipedia - Search engine (computing)
Wikipedia - Search engine indexing
Wikipedia - Search engine marketing
Wikipedia - Search engine optimization -- Practice of increasing online visibility in search engine results pages
Wikipedia - Search engine privacy
Wikipedia - Search engine results page -- Page displayed by search engine in response to query
Wikipedia - Search engine scraping
Wikipedia - Search Engines
Wikipedia - Search engines
Wikipedia - Search engine technology
Wikipedia - Search Engine Watch -- Digital marketing blog
Wikipedia - Search engine -- Software system that is designed to search for information on the World Wide Web
Wikipedia - Seznam.cz -- Czech internet portal and search engine
Wikipedia - Shard (database architecture) -- Horizontal partition of data in a database or search engine
Wikipedia - Shodan (website) -- American web search engine
Wikipedia - Simpli -- Early search engine that offered word-sense disambiguation to search terms
Wikipedia - Sogou -- Chinese search engine
Wikipedia - Soso (search engine)
Wikipedia - Spamdexing -- Deliberate manipulation of search engine indexes
Wikipedia - Sphinx (search engine)
Wikipedia - Sputnik (search engine)
Wikipedia - Startpage.com -- Privacy-focused search engine based in the Netherlands
Wikipedia - Swisscows -- Web search engine operated by Hulbee AG
Wikipedia - Tafiti -- Discontinued animated search engine launched by Microsoft Corp.
Wikipedia - Taganode Local Search Engine
Wikipedia - Technorati -- Search engine and a publisher advertising platform
Wikipedia - TEK search engine
Wikipedia - Template talk:Web search engines
Wikipedia - Tenor (website) -- Search engine
Wikipedia - Terrier Search Engine
Wikipedia - Timeline of web search engines
Wikipedia - TinEye -- Reverse image search engine
Wikipedia - Torch (search engine) -- Search engine for Tor hidden services
Wikipedia - Vanessa Fox -- American search engine consultant and blogger
Wikipedia - Veronica (search engine) -- Search engine
Wikipedia - Video search engine
Wikipedia - Visual search engine
Wikipedia - WDYL (search engine)
Wikipedia - WebCrawler -- Web search engine
Wikipedia - Web search engine
Wikipedia - Web search query -- query that user enters into a web search engine
Wikipedia - Wikia Search -- Defunct free and open-source web search engine by Wikia
Wikipedia - Yandex Search -- Web search engine owned by Yandex
Wikipedia - Yoast SEO -- Search engine optimization plugin for WordPress
Wikipedia - Yooz -- Iranian search engine
Wikipedia - YourBittorrent -- BitTorrent metasearch engine
https://www.goodreads.com/book/show/29976291-3-steps-to-search-engine-success
https://www.goodreads.com/book/show/3431311-search-engine-optimization-all-in-one-for-dummies
https://www.goodreads.com/book/show/8175592-search-engine-optimization-all-in-one-for-dummies
Psychology Wiki - List_of_journal_search_engines
https://business.fandom.com/wiki/Search_Engines_and_Directories_Analysis
https://logos.fandom.com/wiki/Google_Programmable_Search_Engine
https://logos.fandom.com/wiki/Yandex_(search_engine)
https://memory-alpha.fandom.com/wiki/Research_engineer
https://top10.fandom.com/wiki/Search_Engines
https://commons.wikimedia.org/wiki/File:Search_engine_optimization.ogg
Aardvark (search engine)
Archie (search engine)
Audio search engine
BASE (search engine)
Bilingual search engine
ChaCha (search engine)
Chomp (search engine)
Collaborative search engine
Comparison of web search engines
Cue (search engine)
Dragonfly (search engine)
Google Programmable Search Engine
Grub (search engine)
Human flesh search engine
Human search engine
Jinni (search engine)
Jughead (search engine)
Kiddle (search engine)
List of academic databases and search engines
List of search engines
List of search engine software
Local search engine optimisation
Metasearch engine
Network search engine
Outline of search engines
Search engine
Search engine cache
Search engine (computing)
Search engine (disambiguation)
Search engine indexing
Search engine manipulation effect
Search engine marketing
Search engine optimization
Search engine optimization metrics
Search engine privacy
Search engine results page
Search engine scraping
Search Engine Strategies
Search engine technology
Search Engine Watch
Soso (search engine)
Sputnik (search engine)
Timeline of web search engines
Trip (search engine)
Veronica (search engine)
Video search engine
Visual search engine



convenience portal:
recent: Section Maps - index table - favorites
Savitri -- Savitri extended toc
Savitri Section Map -- 1 2 3 4 5 6 7 8 9 10 11 12
authors -- Crowley - Peterson - Borges - Wilber - Teresa - Aurobindo - Ramakrishna - Maharshi - Mother
places -- Garden - Inf. Art Gallery - Inf. Building - Inf. Library - Labyrinth - Library - School - Temple - Tower - Tower of MEM
powers -- Aspiration - Beauty - Concentration - Effort - Faith - Force - Grace - inspiration - Presence - Purity - Sincerity - surrender
difficulties -- cowardice - depres. - distract. - distress - dryness - evil - fear - forget - habits - impulse - incapacity - irritation - lost - mistakes - obscur. - problem - resist - sadness - self-deception - shame - sin - suffering
practices -- Lucid Dreaming - meditation - project - programming - Prayer - read Savitri - study
subjects -- CS - Cybernetics - Game Dev - Integral Theory - Integral Yoga - Kabbalah - Language - Philosophy - Poetry - Zen
6.01 books -- KC - ABA - Null - Savitri - SA O TAOC - SICP - The Gospel of SRK - TIC - The Library of Babel - TLD - TSOY - TTYODAS - TSZ - WOTM II
8 unsorted / add here -- Always - Everyday - Verbs


change css options:
change font "color":
change "background-color":
change "font-family":
change "padding":
change "table font size":
last updated: 2022-05-08 06:31:57
301997 site hits