recsys18

recsys 2016 论文列表

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016.

Infusing Collaborative Recommenders with Distributed Representations.

Greg Zanotti Miller Horvath Lucas Nunes Barbosa Venkata Trinadh Kumar Gupta Immedisetty Jonathan Gemmell

Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation.

Hanjun Dai Yichen Wang Rakshit Trivedi Le Song

Exploring Deep Space: Learning Personalized Ranking in a Semantic Space.

Jeroen B. P. Vuurens Martha A. Larson Arjen P. de Vries

Improved Recurrent Neural Networks for Session-based Recommendations.

Yong Kiam Tan Xinxing Xu Yong Liu

Hybrid Recommender System based on Autoencoders.

Florian Strub Romaric Gaudel Jérémie Mary

Wide & Deep Learning for Recommender Systems.

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

Neural Autoregressive Collaborative Filtering for Implicit Feedback.

Yin Zheng Cailiang Liu Bangsheng Tang Hanning Zhou

Keynote: Deep learning for audio-based music recommendation.

Sander Dieleman