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Item recommendation for multidimensional data context is getting increasing attention in recent years. Tensor factorization and neighborhood based collaborative filtering are the major techniques in use, but they address the item recommendation task for multidimensional data in quite different ways and have different strengths. In this paper, we discuss the characteristics of the two techniques, and...
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