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Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations.

, и . AH, том 5149 из Lecture Notes in Computer Science, стр. 22-31. Springer, (2008)

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Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations., и . AH, том 5149 из Lecture Notes in Computer Science, стр. 22-31. Springer, (2008)CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering., , , , , и . RecSys, стр. 139-146. ACM, (2012)Group recommendations with rank aggregation and collaborative filtering., , и . RecSys, стр. 119-126. ACM, (2010)Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild., , , и . CoRR, (2015)Multi-dimensional Histograms with Tight Bounds for the Error., , и . IDEAS, стр. 105-112. IEEE Computer Society, (2006)GAPfm: optimal top-n recommendations for graded relevance domains., , , , и . CIKM, стр. 2261-2266. ACM, (2013)Item Weighting Techniques for Collaborative Filtering., и . Knowledge Discovery Enhanced with Semantic and Social Information, том 220 из Studies in Computational Intelligence, (2009)Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering., , , и . RecSys, стр. 79-86. ACM, (2010)Exploiting contextual information in recommender systems.. RecSys, стр. 295-298. ACM, (2008)Deep Learning for Recommender Systems: A Netflix Case Study., , , , , и . AI Mag., 42 (3): 7-18 (2021)