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Pairwise interaction tensor factorization for personalized tag recommendation

WSDM, pp.81-90, (2010)

Cited by: 715|Views213
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Abstract

Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization models based on the Tucker Decomposition (TD) model have been shown to provide high quality tag recommendations outperforming other approaches like PageRank, FolkR...More

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