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Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering.

, , , and . RecSys, page 79-86. ACM, (2010)

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Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations., and . AH, volume 5149 of Lecture Notes in Computer Science, page 22-31. Springer, (2008)CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering., , , , , and . RecSys, page 139-146. ACM, (2012)Group recommendations with rank aggregation and collaborative filtering., , and . RecSys, page 119-126. ACM, (2010)Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild., , , and . CoRR, (2015)Multi-dimensional Histograms with Tight Bounds for the Error., , and . IDEAS, page 105-112. IEEE Computer Society, (2006)GAPfm: optimal top-n recommendations for graded relevance domains., , , , and . CIKM, page 2261-2266. ACM, (2013)Context-based splitting of item ratings in collaborative filtering., and . RecSys, page 245-248. ACM, (2009)Context-Dependent Recommendations with Items Splitting., and . IIR, volume 560 of CEUR Workshop Proceedings, page 71-75. CEUR-WS.org, (2010)CLiMF: Collaborative Less-Is-More Filtering., , , , , and . IJCAI, page 3077-3081. IJCAI/AAAI, (2013)Coverage, redundancy and size-awareness in genre diversity for recommender systems., , , and . RecSys, page 209-216. ACM, (2014)