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Training and testing of recommender systems on data missing not at random

KDD, pp.713-722, (2010)

被引用83|浏览23
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Users typically rate only a small fraction of all available items. We show that the absence of ratings carries useful information for improving the top-k hit rate concerning all items, a natural accuracy measure for recommendations. As to test recommender systems, we present two performance measures that can be estimated, under mild assum...更多

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