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Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries
Tucker factorization has been widely used to solve such problems with multi-dimensional data, which are modeled as tensors.
UniWalk: Explainable and Accurate Recommendation for Rating and Network Data
Exploiting both ratings and social graph for recommendation, however, is not trivial because of the heterogeneity of the data.
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