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Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2017, Como, Italy, August 27, 2017

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Recurrent Neural Networks with Top-k Gains for Session-based Recommendations, and . arXiv preprint arXiv:1706.03847, (2017)Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums., and . AAAI (Late-Breaking Developments), volume WS-13-17 of AAAI Workshops, AAAI, (2013)Enhancing Top-N Item Recommendations by Peer Collaboration., , , , , and . SIGIR, page 1895-1900. ACM, (2022)Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions., , , and . HT, page 43-51. ACM, (2018)DLRS 2018: third workshop on deep learning for recommender systems., , , , , , and . RecSys, page 512-513. ACM, (2018)The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems., , , , , , and . RecSys, page 249-252. ACM, (2016)Deep Learning for Recommender Systems., and . RecSys, page 396-397. ACM, (2017)GAPfm: optimal top-n recommendations for graded relevance domains., , , , and . CIKM, page 2261-2266. ACM, (2013)Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering., , , and . RecSys, page 79-86. ACM, (2010)Collaborative temporal order modeling.. RecSys, page 313-316. ACM, (2011)