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ORCIDDLRS@RecSys 2018: Vancouver, BC, Canada
- Balázs Hidasi
, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman:
Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2018, Vancouver, BC, Canada, October 6, 2018. ACM 2018, ISBN 978-1-4503-6617-5
Keynotes
- Thorsten Joachims:
Deep Learning from Logged Interventions. 1 - Ray Jiang:
Delayed learning, multi-objective optimization, and whole slate generation in recommender systems. 2
Regular papers
- Yifan Chen, Maarten de Rijke:
A Collective Variational Autoencoder for Top-N Recommendation with Side Information. 3-9 - Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara:
Item Recommendation with Variational Autoencoders and Heterogeneous Priors. 10-14 - Gabriel de Souza Pereira Moreira, Felipe Ferreira, Adilson Marques da Cunha:
News Session-Based Recommendations using Deep Neural Networks. 15-23 - Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Knowledge-aware Autoencoders for Explainable Recommender Systems. 24-31
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