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Personalized prediction and recommender systems
主讲:Prof. Xiaotong Shen(University of Minnesota)
举办时间:2017.6.7;3:30pm    地点:N514

摘要:

  Personalized prediction predicts a user's preference for a large number of items through user-specific as well as content-specific information, based on a very small amount of observed preference scores. In a sense, predictive accuracy depends on how to pool the information from similar users and items. Two major approaches are collaborative filtering`and content-based filtering.  Whereas the former utilizes the information on users that think alike for a specific item, the latter acts on characteristics of the items that a user prefers, on which two 

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