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公开(公告)号：US08887095B2
公开(公告)日：2014-11-11
申请号：US13080420
申请日：2011-04-05
Applicant: Satish Kumar Krishnamurthy , John Funge , Neil D. Hunt , Todd Scot Yellin , Jonathan Michael Sanders
Inventor： Satish Kumar Krishnamurthy , John Funge , Neil D. Hunt , Todd Scot Yellin , Jonathan Michael Sanders
CPC classification number: G06Q30/0251 , H04N21/441 , H04N21/44222 , H04N21/4826
Abstract: One embodiment of the present invention sets forth a technique for recommending digital content to a user of a digital content application based on continually learned patterns of behavior. Based on metrics collected from a current session of the digital content application, properties associated with one or more users interacting with the application are inferred. The inferred properties are matched against previously defined patterns of behavior to identify digital content that could be presented to the one or more users for optional selection.
Abstract translation: 本发明的一个实施例提出了一种基于持续学习的行为模式向数字内容应用的用户推荐数字内容的技术。 基于从数字内容应用的当前会话收集的指标，推断与与应用交互的一个或多个用户相关联的属性。 推测的属性与先前定义的行为模式匹配，以识别可以呈现给一个或多个用户以供选择选择的数字内容。
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公开(公告)号：US10311386B2
公开(公告)日：2019-06-04
申请号：US13179392
申请日：2011-07-08
Applicant: Carlos Alberto Gomez Uribe , Eric Lucas , Satish Kumar Krishnamurthy , Christopher Francis Pouliot
Inventor： Carlos Alberto Gomez Uribe , Eric Lucas , Satish Kumar Krishnamurthy , Christopher Francis Pouliot
Abstract: One embodiment of the invention sets forth a mechanism for identifying similar items within a plurality of items available to a group of users. The mechanism includes identifying a first count that indicates a number of times any user has interacted with a first item included in the plurality of items and subsequently with any other item, identifying a second count that indicates a number of times any user within the has interacted with a second item included in the plurality of items after interacting with the first item, computing a probability that indicates the likelihood of a particular user interacting with the second item after interacting with the first item based on the first count and the second count, and computing a similarity score that indicates the similarity between the first item and the second item based on the probability and a popularity score associated with the second item.
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公开(公告)号：US20130013372A1
公开(公告)日：2013-01-10
申请号：US13179392
申请日：2011-07-08
Applicant: Carlos Alberto GOMEZ URIBE , Eric Lucas , Satish Kumar Krishnamurthy , Christopher Francis Pouliot
Inventor： Carlos Alberto GOMEZ URIBE , Eric Lucas , Satish Kumar Krishnamurthy , Christopher Francis Pouliot
IPC: G06Q30/00
CPC classification number: G06Q10/06 , G06Q30/0201
Abstract: One embodiment of the invention sets forth a mechanism for identifying similar items within a plurality of items available to a group of users. The mechanism includes identifying a first count that indicates a number of times any user has interacted with a first item included in the plurality of items and subsequently with any other item, identifying a second count that indicates a number of times any user within the has interacted with a second item included in the plurality of items after interacting with the first item, computing a probability that indicates the likelihood of a particular user interacting with the second item after interacting with the first item based on the first count and the second count, and computing a similarity score that indicates the similarity between the first item and the second item based on the probability and a popularity score associated with the second item.
Abstract translation: 本发明的一个实施例提出了一种用于识别可用于一组用户的多个项目中的相似项目的机制。 该机制包括识别指示任何用户已经与包括在多个项目中的第一项目进行交互的次数的随后的任何其他项目的第一计数，识别表示所述用户内的任何用户已经互动的次数的第二计数 其中在与所述第一项目交互之后包括在所述多个项目中的第二项目计算指示在与所述第一项目基于所述第一计数和所述第二计数交互之后特定用户与所述第二项目交互的可能性的概率，以及 基于与第二项目相关联的概率和受欢迎程度，计算指示第一项目和第二项目之间的相似性的相似度分数。
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公开(公告)号：US20120260214A1
公开(公告)日：2012-10-11
申请号：US13080420
申请日：2011-04-05
Applicant: Satish Kumar KRISHNAMURTHY , John Funge , Neil D. Hunt , Todd Scot Yellin , Jonathan Michael Sanders
Inventor： Satish Kumar KRISHNAMURTHY , John Funge , Neil D. Hunt , Todd Scot Yellin , Jonathan Michael Sanders
IPC: G06F3/048
CPC classification number: G06Q30/0251 , H04N21/441 , H04N21/44222 , H04N21/4826
Abstract: One embodiment of the present invention sets forth a technique for recommending digital content to a user of a digital content application based on continually learned patterns of behavior. Based on metrics collected from a current session of the digital content application, properties associated with one or more users interacting with the application are inferred. The inferred properties are matched against previously defined patterns of behavior to identify digital content that could be presented to the one or more users for optional selection.
Abstract translation: 本发明的一个实施例提出了一种基于持续学习的行为模式向数字内容应用的用户推荐数字内容的技术。 基于从数字内容应用的当前会话收集的指标，推断与与应用交互的一个或多个用户相关联的属性。 推测的属性与先前定义的行为模式匹配，以识别可以呈现给一个或多个用户以供选择选择的数字内容。
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