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HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation.

, , and . CIKM, page 769-778. ACM, (2014)

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Feature selection with spatial path coding for multimedia analysis., , , , and . Inf. Sci., (2014)An Efficient Incremental Algorithm for Frequent Itemsets Mining in Distorted Databases with Granular Computing., and . Web Intelligence, page 913-918. IEEE Computer Society, (2006)An incremental rule extracting algorithm based on Pawlak reduction., , and . SMC (6), page 5964-5968. IEEE, (2004)A Dynamic Incremental Rule Extracting Algorithm Based on the Improved Discernibility Matrix., , , and . IRI, page 93-97. IEEE Systems, Man, and Cybernetics Society, (2003)An Improved EMASK Algorithm for Privacy-Preserving Frequent Pattern Mining., , , and . CIS (1), volume 3801 of Lecture Notes in Computer Science, page 752-757. Springer, (2005)Hierarchical Infrastructure for Large-Scale Distributed Privacy-Preserving Data Mining., , , and . International Conference on Computational Science (3), volume 3516 of Lecture Notes in Computer Science, page 1020-1023. Springer, (2005)Semantic modeling project: building vernacular house of southeast China., , , and . VRCAI, page 412-418. ACM, (2004)Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue., , and . IJCAI, page 1820-1826. AAAI Press, (2015)LBMF: Log-Bilinear Matrix Factorization for Recommender Systems., , and . PAKDD (1), volume 9651 of Lecture Notes in Computer Science, page 502-513. Springer, (2016)Understanding Topic Influence Based on Module Network., , , , and . ICADL, volume 4822 of Lecture Notes in Computer Science, page 391-399. Springer, (2007)