A Two-Stage Item Recommendation Method Using Probabilistic Ranking with Reconstructed Tensor Model

Noor Ifada, Richi Nayak. A Two-Stage Item Recommendation Method Using Probabilistic Ranking with Reconstructed Tensor Model. In Vania Dimitrova, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog, Geert-Jan Houben, editors, User Modeling, Adaptation, and Personalization - 22nd International Conference, UMAP 2014, Aalborg, Denmark, July 7-11, 2014. Proceedings. Volume 8538 of Lecture Notes in Computer Science, pages 98-110, Springer, 2014. [doi]

Abstract

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