Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation-Reference-Cited by-同舟云学术

Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Zhang Wei¹,Yan Junbing¹,Wang Zhuo²,Wang Jianyong²

Affiliation:

1. East China Normal University, China

2. Tsinghua University, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512042

Reference43 articles.

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3. Tianqi Chen and Carlos Guestrin. 2016. XGBoost: A Scalable Tree Boosting System. In SIGKDD. 785–794. Tianqi Chen and Carlos Guestrin. 2016. XGBoost: A Scalable Tree Boosting System. In SIGKDD. 785–794.

4. 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 and Hemal Shah. 2016. Wide & Deep Learning for Recommender Systems. In DLRS@RecSys. 7–10. 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 and Hemal Shah. 2016. Wide & Deep Learning for Recommender Systems. In DLRS@RecSys. 7–10.

5. Marc Fischer Mislav Balunovic Dana Drachsler-Cohen Timon Gehr Ce Zhang and Martin T. Vechev. 2019. DL2: Training and Querying Neural Networks with Logic. In ICML Vol. 97. 1931–1941. Marc Fischer Mislav Balunovic Dana Drachsler-Cohen Timon Gehr Ce Zhang and Martin T. Vechev. 2019. DL2: Training and Querying Neural Networks with Logic. In ICML Vol. 97. 1931–1941.

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