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Exploiting feature extraction techniques on users' reviews for movies recommendation., , and . J. Braz. Comput. Soc., 23 (1): 7:1-7:16 (2017)Applying multi-view based metadata in personalized ranking for recommender systems., , , , , and . SAC, page 1105-1107. ACM, (2015)Exploiting Item Representations for Soft Clustering Recommendation., and . WebMedia, page 271-278. ACM, (2016)Pre-processing approaches for collaborative filtering based on hierarchical clustering., , , and . Inf. Sci., (2020)Discovering latent factors from movies genres for enhanced recommendation.. RecSys, page 249-252. ACM, (2012)Extended recommendation-by-explanation., , , and . User Model. User Adapt. Interact., 32 (1-2): 91-131 (2022)Interactive news documents for digital television., , and . WebMedia (Companion), page 1-4. ACM, (2008)Case recommender: a flexible and extensible python framework for recommender systems., , , , and . RecSys, page 494-495. ACM, (2018)Mining unstructured content for recommender systems: an ensemble approach., , , , , , , and . Inf. Retr. J., 19 (4): 378-415 (2016)Boosting collaborative filtering with an ensemble of co-trained recommenders., , and . Expert Syst. Appl., (2019)