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Human Factors Based Partitioning Versus Data Clustering for Recommendations.

, , and . WI-IAT (1), page 276-279. IEEE Computer Society, (2015)

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A novel framework to alleviate the sparsity problem in context-aware recommender systems., , and . New Rev. Hypermedia Multim., 23 (2): 141-158 (2017)Improving Short Text Classification Using Public Search Engines., , , , , and . IUKM, volume 8032 of Lecture Notes in Computer Science, page 157-166. Springer, (2013)A novel confidence estimation method for heterogeneous implicit feedback., , , , and . Frontiers Inf. Technol. Electron. Eng., 18 (11): 1817-1827 (2017)SeBPR: Semantics Enhanced Bayesian Personalized Ranking with Comparable Item Pairs., and . ICDM Workshops, page 1015-1022. IEEE Computer Society, (2016)A Novel Framework to Process the Quantity and Quality of User Behavior Data in Recommender Systems., , and . WAIM (1), volume 9658 of Lecture Notes in Computer Science, page 231-243. Springer, (2016)Improving Recommendations with Collaborative Factors., , , , and . WAIM, volume 8485 of Lecture Notes in Computer Science, page 30-33. Springer, (2014)Human Factors Based Partitioning Versus Data Clustering for Recommendations., , and . WI-IAT (1), page 276-279. IEEE Computer Society, (2015)User Preference Quantity versus Recommendation Performance: A Preliminary Study., , and . SmartCity, page 844-849. IEEE Computer Society, (2015)