发明名称 |
USER MODELING FOR PERSONALIZED GENERALIZED CONTENT RECOMMENDATIONS |
摘要 |
Users receive content recommendations from a personalized, generalized recommendation service that aggregates and selects content of high personal relevance to each individual user from a large pool of both personal and public content. The received content is filtered and the content determined to be relevant is cached. When a user request for content is received, the cached content is rescored and the content determined to be most relevant based on satisfaction of a relevance threshold is selected and forwarded to the user. Feedback methodologies are also implemented so that a user's actions are taken into consideration in real time and can affect subsequent recommendations to the user. |
申请公布号 |
US2013290339(A1) |
申请公布日期 |
2013.10.31 |
申请号 |
US201213458750 |
申请日期 |
2012.04.27 |
申请人 |
LUVOGT CHRIS;ROBBINS BRUCE;NGUYEN VU B.;MAHALINGAM DEEPA;YAHOO! INC. |
发明人 |
LUVOGT CHRIS;ROBBINS BRUCE;NGUYEN VU B.;MAHALINGAM DEEPA |
分类号 |
G06F17/30 |
主分类号 |
G06F17/30 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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