How does Google name its technology? The following is intended to be some kind of glossary and reference of google tech slang as used by Google corporate communication [to be updated continuously]:
On Artificial Intelligence
Artificial Intelligence
-”The problems we call artificial intelligence today will become accepted as standard computational capabilities, including image processing, speech recognition, natural language processing” Brin in Founders Letter 2008.
-”…once considered to be in the fantasy realm of artificial intelligence to come closer to reality” Brin in Founders Letter 2008.
-”We are striving to make Google really understand your query” Founders letter 2005
Human-Level Artificial Intelligence
-”which many of us believe is still quite distant” Brin in Founders Letter 2008.
large-Scale AI
-”We are particular believers in large-scale AI” Founders letter 2005
Intelligent Cloud
“this system will operate on an enormous scale with an unprecedented computational power of millions of computers. It will be used by billions of people and learn from an aggregate of potentially trillions of meaningful interactions per day. It will be engineered iteratively, based on a feedback loop of quick changes, evaluation, and adjustments. And it will be built based on the needs of solving and improving concrete and useful tasks such as finding information, answering questions, performing spoken dialogue, translating text and speech, understanding images and videos, and other tasks as yet undefined” Alfred Spector, VP Engineering, and Franz Och, Research Scientist, 2008 in Google Blog
Machine Learning
“is a branch of Artificial Intelligence”, Machine Learning Summit in New York, Phil Long, 2008, Google Research Blog
On Technologies
Personalization
-changes in ranking, launched in 2005, Brin in Founders Letter 2008.
-”Search and Personlization” Google Inc. Annual Report 2008
-”iGoogle and Personalized Search” Google Inc. Annual Report 2008
Face Recognition
-used by PicasaWeb, Brin in Founders Letter 2008.
Data Mining
-”combined with large data sets such as search logs, data mining can improve the world while safeguarding privacy” Brin in Founders Letter 2008.
Google News Technology
Computer Algorithm
-Technology behind the selection in Google News, Brin in Founders Letter 2008.
Computer Program
“The selection and placement of stories on this page were determined automatically by a computer program” Google News Frontpage
Computer-Generated News Site
“Google News is a computer-generated news site that aggregates headlines from more than 4,500 English-language news sources worldwide.” About Google News
Signal
-”articles are selected and ranked by computers that evaluate, among other things, how often and on what sites a story appears online. We also rank based on certain characteristics of news content such as freshness, location, relevance and diversity”. About Google News
-”Another signal we’ve added helps us recognize the importance of local context in a story” Google News Blog
Search Technology
Automated Search Technology
-coined in Google Inc. Annual Report 2008
PageRank
-Technology behind Search. Google Inc. Annual Report 2008
Text-Matching Techniques
-Technology behind Search Google Inc. Annual Report 2008
Hypertext-Matching Analysis
-”analyzes the full content of a page and factors in fonts, subdivisions and the precise location of each word. We also analyze the content of neighboring web pages to ensure the results returned are the most relevant to a user’s query” Technology Overview
Search Quality
“the name of the team responsible for the ranking of Google search results”
Udi Manber, VP of engineering, Google Blog
Ranking Algorithm
“The most famous part of our ranking algorithm is PageRank, an algorithm developed by Larry Page and Sergey Brin, who founded Google. PageRank is still in use today, but it is now a part of a much larger system. Other parts include language models (the ability to handle phrases, synonyms, diacritics, spelling mistakes, and so on), query models (it’s not just the language, it’s how people use it today), time models (some queries are best answered with a 30-minutes old page, and some are better answered with a page that stood the test of time), and personalized models (not all people want the same thing)”. Udi Manber, VP of engineering, Google Blog
-”a collection of algorithms used to find the most relevant documents for a user query” Amit Singhal, Google Blog
200 signals
“Our information retrieval experts have added more than 200 additional signals to the algorithms that determine the relevance of websites”. Hal Varian, Google Blog, 2008
Ad Products Technology
Google AdWords
-”Auction based advertising…, targeted to search queries” Google Inc. Annual Report 2008
AdWords Ranking
-”Ads are ranked for display in AdWords based on a combination of the maximum cost-per-click pricing set by the advertisers and click through rates and other factors” Google Inc. Annual Report 2008
-”To determine whether an ad is relevant to a particular query, this system weighs an advertiser’s willingness to pay for prominence in the ad listings (cost-per-click or cost-per-impression bid) and interest from users in the ad as measured by the click through rate and other factors….Also assign minimum bids to advertisers keywords based on the Quality scores of those keywords. Quality score is determined by an advertiser’s keyword click-through rate, the relevance of the ad text, historical keyword performance, the quality of the ad’s landing page” Google Inc. Annual Report 2008
AdWords Discounter
-”automatically lowers the amount advertisers actually pay to the minimum needed to maintain their ad position” Google Inc. Annual Report 2008
Site Targeting
-Based on third-party opt-in panel data Google Inc. Annual Report 2008
Google AdWord Auction System
-Auction Based System, Google Inc. Annual Report 2008
-Automated execution of an auction. Google Inc. Annual Report 2008
Content Targeting
-Contextual advertising option Google Inc. Annual Report 2008
AdSense for Content
“automated technology to analyzes the meaning of the content on the web site and serve relevant ads based on the meaning of the content” Google Inc. Annual Report 2008
AdSense Contextual Advertising Technology
-”…techniques that consider factors such as keyword analysis, word frequency and the overall link structure of the web to analyze the content of individual web pages to match ads to them almost instantaneously….automatically serve contextually relevant ads….we employ similar techniques for matching advertisements to other forms of textual content such as email messages and Google Groups postings” Google Inc. Annual Report 2008
DoubleClick Advertiser Platform
“provides tools for media planning, buying, selling ad delivery, measurement, and optimization” Google Inc. Annual Report 2008
Google Ad Planner and MediaVisor
“research and media planning tool that allows agencies and advertisers to identify the web sites their target customeRs are likely to visit. MediaVisor improves media buying by replacing formerly manual tasks in the media buying process.” Google Inc. Annual Report 2008
DoubleClick Publisher Platform
-tools for publishers
Business Intelligence
-”YouTube offers analytic tools to help advertisers understand their audience and derive general business intelligence.” Google Inc. Annual Report 2008
