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Session-based Recommendations with Recurrent Neural Networks

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Domonkos Horvath

Domonkos Döme

Rakesh Tikku

Ritva Tikkanen

 

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On the approximation properties of TP model forms., , и . FUZZ-IEEE, стр. 1069-1074. IEEE, (2004)Fast als-based matrix factorization for explicit and implicit feedback datasets., , и . RecSys, стр. 71-78. ACM, (2010)Scalable Collaborative Filtering Approaches for Large Recommender Systems., , , и . J. Mach. Learn. Res., (2009)A survey on universal approximation and its limits in soft computing techniques., , и . Int. J. Approx. Reason., 33 (2): 185-202 (2003)Personalized recommendation of linear content on interactive TV platforms: beating the cold start and noisy implicit user feedback., , , и . UMAP Workshops, том 872 из CEUR Workshop Proceedings, CEUR-WS.org, (2012)Fuzzy Rule Interpolation and Extrapolation Techniques: Criteria and Evaluation Guidelines., , , и . J. Adv. Comput. Intell. Intell. Informatics, 15 (3): 254-263 (2011)Full-Text Search Engines for Databases., и . Encyclopedia of Artificial Intelligence, IGI Global, (2009)Determining Relevant Deep Web Sites by Query Context Identification., и . BIS (Workshops), том 333 из CEUR Workshop Proceedings, стр. 119-130. CEUR-WS.org, (2008)RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS)., , , , , , и . RecSys, стр. 415-416. ACM, (2016)Fuzzy Rule Interpolation Matlab Toolbox - FRI Toolbox., , , и . FUZZ-IEEE, стр. 351-357. IEEE, (2006)