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How many bits per rating?, , , , и . RecSys, стр. 99-106. ACM, (2012)Predicting Users' Preference from Tag Relevance., и . UMAP, том 7899 из Lecture Notes in Computer Science, стр. 274-280. Springer, (2013)Improving recommender systems: user roles and lifecycles.. RecSys, стр. 417-420. ACM, (2014)Exploring the filter bubble, , , , и . Proceedings of the 23rd international conference on World wide web - WWW \textquotesingle14, ACM Press, (2014)Early Activity Diversity: Assessing Newcomer Retention from First-Session Activity., , и . CSCW, стр. 594-607. ACM, (2016)Exploring the filter bubble: the effect of using recommender systems on content diversity., , , , и . WWW, стр. 677-686. ACM, (2014)Personality, User Preferences and Behavior in Recommender systems., , и . Inf. Syst. Frontiers, 20 (6): 1241-1265 (2018)User Session Identification Based on Strong Regularities in Inter-activity Time., , , , , , , и . WWW, стр. 410-418. ACM, (2015)Exploring the Value of Personality in Predicting Rating Behaviors: A Study of Category Preferences on MovieLens., , и . RecSys, стр. 139-142. ACM, (2016)The Known Stranger: Supporting Conversations between Strangers with Personalized Topic Suggestions., , , и . CHI, стр. 555-564. ACM, (2015)