Providing content using inferred topics extracted from communications in a social networking system
作者： Gang Wu , Giridhar Rajaram , Hong Yan , Jeffrey Andrew Kanter
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摘要: A social networking system may infer interests based on extracted topics from content items the system. user's comments and page likes in a are used to which user is interested. Topics also be automatically users' posts, generalized using category tree identify additional for user. The target such as advertisements users these topics. For example, boost stories related feeds, append about that topics, or use targeting criteria an advertisement.
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