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©2016TechIPm, LLC All Rights Reservedhttp://www.techipm.com/
Yahoo Artificial Intelligence Patents Assessment
Alex G. Lee (alexglee@techipm.com)
Recent selling efforts of Yahoo brought an attention regarding its more than 6000 patents. Several patent
professionals expect that the value of patents could be reach around $4 B. Yahoo patents for Artificial Intelligence
(AI) include 58 US issued patents. Yahoo AI patents cover diverse applications such as Search Engine, Online
Advertisement, Email System, Web Applications, E-commerce, Data Management, and Social Networking. Some
of key Yahoo AI patents are as follows.
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©2016TechIPm, LLC All Rights Reservedhttp://www.techipm.com/
Search Engine
US8775416 discloses techniques for predicting user interests based on information known about a specific context
(e.g., a specific user, group of users, or type of content). Based on a query submitted by a user, a machine learning
is used to identify results that the user would most likely be interested in (e.g., webpages or ads may be helpful to
the user).
OnlineAdvertisement
US7680746 discloses techniques for analyzing historical click-rate information with reference to a categorization
system in order to predict the click-through rates for various internet advertisements. When a web viewer selects an
advertisement, the web viewer ‘clicks through’ the advertisement to see the advertiser's web site. A machine
learning based model can be used for predicting the click-through rates of various different internet advertisement
types displayed on various different web page types
EmailSystem
US8055078 discloses a method for detecting and blocking image spam within a message. A neural network
algorithm is used to determine features within an image as compared to known spam images.
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©2016TechIPm, LLC All Rights Reservedhttp://www.techipm.com/
Web Applications
US8719292 is directed a method for bringing potentially interesting web content to a user's attention in a faster and
more interesting way. A web content guide server generates questions to the user based on known current up to
date news or facts. Based on the user's response, the web content guide server chooses to display information
which may interest the user. An AI tree structure is used to determine whether to cause the user to be presented
with additional questions, or cause the user to be redirected to the new web page that is different than the first web
page.

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Yahoo Artificial Intelligence Patents Assessment

  • 1. 1 ©2016TechIPm, LLC All Rights Reservedhttp://www.techipm.com/ Yahoo Artificial Intelligence Patents Assessment Alex G. Lee (alexglee@techipm.com) Recent selling efforts of Yahoo brought an attention regarding its more than 6000 patents. Several patent professionals expect that the value of patents could be reach around $4 B. Yahoo patents for Artificial Intelligence (AI) include 58 US issued patents. Yahoo AI patents cover diverse applications such as Search Engine, Online Advertisement, Email System, Web Applications, E-commerce, Data Management, and Social Networking. Some of key Yahoo AI patents are as follows.
  • 2. 2 ©2016TechIPm, LLC All Rights Reservedhttp://www.techipm.com/ Search Engine US8775416 discloses techniques for predicting user interests based on information known about a specific context (e.g., a specific user, group of users, or type of content). Based on a query submitted by a user, a machine learning is used to identify results that the user would most likely be interested in (e.g., webpages or ads may be helpful to the user). OnlineAdvertisement US7680746 discloses techniques for analyzing historical click-rate information with reference to a categorization system in order to predict the click-through rates for various internet advertisements. When a web viewer selects an advertisement, the web viewer ‘clicks through’ the advertisement to see the advertiser's web site. A machine learning based model can be used for predicting the click-through rates of various different internet advertisement types displayed on various different web page types EmailSystem US8055078 discloses a method for detecting and blocking image spam within a message. A neural network algorithm is used to determine features within an image as compared to known spam images.
  • 3. 3 ©2016TechIPm, LLC All Rights Reservedhttp://www.techipm.com/ Web Applications US8719292 is directed a method for bringing potentially interesting web content to a user's attention in a faster and more interesting way. A web content guide server generates questions to the user based on known current up to date news or facts. Based on the user's response, the web content guide server chooses to display information which may interest the user. An AI tree structure is used to determine whether to cause the user to be presented with additional questions, or cause the user to be redirected to the new web page that is different than the first web page.