Interpreting News Recommendation Models
WWW '15: 24th International World Wide Web Conference Florence Italy May, 2015(2015)
摘要
This paper presents an approach for recommending news articles on a large news portal. Focus is given to interpretability of the developed models, analysis of their performance, and deriving understanding of short and long-term user behavior on a news portal.
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关键词
News recommendation,Personalization,Learning to rank
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