Deep Learning for Recommender Systems-Reference-Cited by-同舟云学术

Deep Learning for Recommender Systems

Published:2017-08-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Eleventh ACM Conference on Recommender Systems
language:
Short-container-title:

Author:

Karatzoglou Alexandros¹,Hidasi Balázs²

Affiliation:

1. Telefonica Research, Barcelona, Spain

2. Gravity R&D, Budapest, Hungary

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3109859.3109933

Reference14 articles.

1. Towards Conversational Recommender Systems

2. Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. CoRR abs/1703.04247 (2017). http://arxiv.org/abs/1703.04247 Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. CoRR abs/1703.04247 (2017). http://arxiv.org/abs/1703.04247

3. Balázs Hidasi and Alexandros Karatzoglou. 2017. Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. abs/1706.03847 (2017). https://arxiv.org/abs/1706.03847 Balázs Hidasi and Alexandros Karatzoglou. 2017. Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. abs/1706.03847 (2017). https://arxiv.org/abs/1706.03847

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