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''' 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).
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== Literature ==
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* Shuang-Hong Yang, Bo Long, [[Alex Smola]], Hongyuan Zha, Zhaohui Zheng: ''[http://www.cc.gatech.edu/~syang46/papers/SIGIR11CCF.pdf Collaborative Competitive Filtering: Learning Recommender Using Context of User Choices]'', [[SIGIR 2011]]
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* Ye Chen, John F. Canny: ''[http://portal.acm.org/citation.cfm?id=2010051 Recommending Ephemeral Items at Web Scale]'', [[SIGIR 2011]]
  
 
== See also ==
 
== See also ==
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* [[ranking]]
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* [[precision and recall]], [[NDCG]], [[AUC]]
 
* [[rating prediction]]
 
* [[rating prediction]]
 
* [[implicit feedback]]
 
* [[implicit feedback]]
* [[:Category:Music Recommendation]]
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* [[:Category: Music Recommendation]]
* [[:Category:Movie Recommendation]]
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* [[:Category: Movie Recommendation]]
  
 
[[Category:Task]]
 
[[Category:Task]]

Revision as of 10:52, 10 August 2011

Item prediction 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

See also