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Using visual features based on MPEG-7 and deep learning for movie recommendation., , , and . Int. J. Multim. Inf. Retr., 7 (4): 207-219 (2018)Parallel, distributed and network-based processing.. J. Syst. Archit., 52 (2): 71-72 (2006)Methodological Issues in Recommender Systems Research (Extended Abstract)., , and . IJCAI, page 4706-4710. ijcai.org, (2020)Sister Conferences Best Papers.User profiling vs. accuracy in recommender system user experience., , and . AVI, page 717-720. ACM, (2012)First International Workshop on User Interfaces for Crowdsourcing and Human Computation., , and . AVI, page 398-400. ACM, (2014)Tutorial on cross-domain recommender systems., and . RecSys, page 401-402. ACM, (2014)Evaluating top-n recommendations "when the best are gone"., , and . RecSys, page 339-342. ACM, (2013)Consolidation of multi-tier workloads with performance and reliability constraints., , , and . HPCS, page 74-83. IEEE, (2012)Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedback., , , , and . EC-Web, volume 239 of Lecture Notes in Business Information Processing, page 57-68. Springer, (2015)A unified framework for the bottleneck analysis of multiclass queueing networks., and . Perform. Evaluation, 67 (4): 218-234 (2010)