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Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering.

, , and . AAAI, page 3992-3999. AAAI Press, (2018)

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Stochastic Co-clustering for Document-Term Data., , and . SDM, page 306-314. SIAM, (2016)Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif., , , and . EGC, volume E-28 of Revue des Nouvelles Technologies de l'Information, page 347-358. Hermann-Éditions, (2015)Non-negative Matrix Factorization Meets Word Embedding., , and . SIGIR, page 1081-1084. ACM, (2017)Directional co-clustering., and . Adv. Data Analysis and Classification, 13 (3): 591-620 (2019)Von Mises-Fisher based (co-)clustering for high-dimensional sparse data : application to text and collaborative filtering data. (Modèles de mélange de von Mises-Fisher pour la classification simple et croisée de données éparses de grande dimension).. Paris Descartes University, France, (2016)Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering., , and . AAAI, page 3992-3999. AAAI Press, (2018)An Efficient Incremental Collaborative Filtering System., , and . ICONIP (3), volume 9491 of Lecture Notes in Computer Science, page 375-383. Springer, (2015)A dynamic collaborative filtering system via a weighted clustering approach., , and . Neurocomputing, (2016)Probabilistic Collaborative Representation Learning for Personalized Item Recommendation., and . UAI, page 998-1008. AUAI Press, (2018)A Way to Boost Semi-NMF for Document Clustering., , and . CIKM, page 2275-2278. ACM, (2017)