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 == | ||
| Line 6: | Line 6: | ||
== See also == | == See also == | ||
| − | |||
* [[precision and recall]], [[NDCG]], [[AUC]] | * [[precision and recall]], [[NDCG]], [[AUC]] | ||
| + | * [[tag recommendation]] | ||
* [[rating prediction]] | * [[rating prediction]] | ||
* [[implicit feedback]] | * [[implicit feedback]] | ||
* [[:Category: Music Recommendation]] | * [[:Category: Music Recommendation]] | ||
* [[:Category: Movie Recommendation]] | * [[:Category: Movie Recommendation]] | ||
| + | * [[ranking]] | ||
| − | [[Category:Task]] | + | [[Category: Task]] |
Latest revision as of 15:30, 1 September 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
