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Learning conditional preference network from noisy samples using hypothesis testing.

, , , , and . Knowl.-Based Syst., (2013)

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Recurrent neural network based recommendation for time heterogeneous feedback., , , and . Knowl.-Based Syst., (2016)Deep Learning Based Recommendation: A Survey., and . ICISA, volume 424 of Lecture Notes in Electrical Engineering, page 451-458. Springer, (2017)The SRGM Framework of Integrated Fault Detection Process and Correction Process., , and . CSSE (2), page 679-682. IEEE Computer Society, (2008)978-0-7695-3336-0.Representing conditional preference by boosted regression trees for recommendation., , , , , , and . Inf. Sci., (2016)Learning Conditional Preference Networks from Inconsistent Examples., , , , and . IEEE Trans. Knowl. Data Eng., 26 (2): 376-390 (2014)Conditional preference in recommender systems., , , and . Expert Syst. Appl., 42 (2): 774-788 (2015)List-wise probabilistic matrix factorization for recommendation., , , and . Inf. Sci., (2014)Learning conditional preference network from noisy samples using hypothesis testing., , , , and . Knowl.-Based Syst., (2013)Objects Similarity Measurement Based on Skeleton Tree Descriptor Matching., , and . CAD/Graphics, page 96-101. IEEE, (2007)Bayesian Probabilistic Matrix Factorization with Social Relations and Item Contents for recommendation., , and . Decis. Support Syst., 55 (3): 838-850 (2013)