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DLRS@RecSys 2016: Boston, MA, USA
- Alexandros Karatzoglou, Balázs Hidasi
, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach:
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016. ACM 2016, ISBN 978-1-4503-4795-2 - Sander Dieleman:
Keynote: Deep learning for audio-based music recommendation. 1 - Yin Zheng, Cailiang Liu, Bangsheng Tang, Hanning Zhou:
Neural Autoregressive Collaborative Filtering for Implicit Feedback. 2-6 - Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, Hemal Shah:
Wide & Deep Learning for Recommender Systems. 7-10 - Florian Strub, Romaric Gaudel, Jérémie Mary:
Hybrid Recommender System based on Autoencoders. 11-16 - Yong Kiam Tan, Xinxing Xu, Yong Liu:
Improved Recurrent Neural Networks for Session-based Recommendations. 17-22 - Jeroen B. P. Vuurens, Martha A. Larson, Arjen P. de Vries
:
Exploring Deep Space: Learning Personalized Ranking in a Semantic Space. 23-28 - Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song:
Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation. 29-34 - Greg Zanotti, Miller Horvath
, Lucas Nunes Barbosa, Venkata Trinadh Kumar Gupta Immedisetty, Jonathan Gemmell:
Infusing Collaborative Recommenders with Distributed Representations. 35-42
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