Item prediction

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

See also

• ranking
• precision and recall, NDCG, AUC
• rating prediction
• implicit feedback
• Category: Music Recommendation
• Category: Movie Recommendation