Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning-Reference-Cited by-同舟云学术

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Published:2020-07-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Zhou Sijin¹,Dai Xinyi¹,Chen Haokun¹,Zhang Weinan¹,Ren Kan¹,Tang Ruiming²,He Xiuqiang²,Yu Yong¹

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. Huawei Noah's Ark Lab, Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397271.3401174

Reference45 articles.

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3. Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient

4. Top-K Off-Policy Correction for a REINFORCE Recommender System

5. Wide & Deep Learning for Recommender Systems

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