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- W2135046706 abstract "During the last decade, recommender systems have become a ubiquitous feature in the online world. Research on systems and algorithms in this area has flourished, leading to novel techniques for personalization and recommendation. The evaluation of recommender systems, however, has not seen similar progress---techniques have changed little since the advent of recommender systems, when evaluation methodologies were borrowed from related research areas. As an effort to move evaluation methodology forward, this paper describes a production recommender system infrastructure that allows research systems to be evaluated in situ, by real-world metrics such as user clickthrough. We present an analysis of one month of interactions with this infrastructure and share our findings." @default.
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- W2135046706 date "2013-11-01" @default.
- W2135046706 modified "2023-09-25" @default.
- W2135046706 title "A month in the life of a production news recommender system" @default.
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- W2135046706 doi "https://doi.org/10.1145/2513150.2513159" @default.
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