Difference between revisions of "Item prediction"
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== See also == | == See also == | ||
* [[precision and recall]], [[NDCG]], [[AUC]] | * [[precision and recall]], [[NDCG]], [[AUC]] | ||
| + | * [[tag recommendation]] | ||
* [[rating prediction]] | * [[rating prediction]] | ||
* [[implicit feedback]] | * [[implicit feedback]] | ||
Latest revision as of 14:30, 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
