Difference between revisions of "Item prediction"
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| − | '''Item prediction''' is the task of predicting [[item]]s (movies, books, products, videos, jokes) that a user may like, based on past user behavior (and possibly other information). | + | '''Item prediction''' or '''item recommendation''' is the task of predicting [[item]]s (movies, books, products, videos, jokes) that a user may like, based on past user behavior (and possibly other information). |
== Literature == | == Literature == | ||
Revision as of 10:52, 10 August 2011
Item prediction or item recommendation is the task of predicting items (movies, books, products, videos, jokes) that a user may like, based on past user behavior (and possibly other information).
Literature
- Shuang-Hong Yang, Bo Long, Alex Smola, Hongyuan Zha, Zhaohui Zheng: Collaborative Competitive Filtering: Learning Recommender Using Context of User Choices, SIGIR 2011
- Ye Chen, John F. Canny: Recommending Ephemeral Items at Web Scale, SIGIR 2011
