Nonlinear transformation of tensor factorization for collaborative filtering
نویسندگان
چکیده
In this paper, an extension of tensor factorization based on nonlinear transformation is proposed to formulate collaborative filtering using spatiotemporal information. The nonlinear function we adopted for the transformation has only one tuning parameter, but it will give us greater flexibility to model observed data more precisely. We experimentally investigated the effectiveness of our method using an artificial dataset. Keywords—Collaborative filtering; nonlinear transformation; tensor factorization; model selection; spatiotemporal information
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تاریخ انتشار 2011