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A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems.

, , и . UMAP, стр. 280-284. ACM, (2017)

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Farzad Farkhooi

Farzad Salehi

Farzad Farkhooi

Farzad Soleimankhani

Farzad Farkhooi

 

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Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks., и . CoRR, (2018)Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation, и . Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, стр. 71-79. ACM, (июля 2020)Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems., , и . UMAP, стр. 225-233. ACM, (2019)Collaborative Recommendation of Informal Learning Experiences., и . WI Workshops, стр. 66-67. IEEE Computer Society, (2016)A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems., , и . UMAP, стр. 280-284. ACM, (2017)User Segmentation for Controlling Recommendation Diversity., , и . RecSys Posters, том 1688 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models., и . FLAIRS, стр. 425-430. AAAI Press, (2019)Opportunistic Multi-aspect Fairness through Personalized Re-ranking., , , , и . UMAP, стр. 239-247. ACM, (2020)Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation., , , , и . CoRR, (2024)