Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU-Reference-Cited by-同舟云学术

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU

Published:2019-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Information and Knowledge Management
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Author:

Zhu Yu¹,Gong Yu¹,Liu Qingwen¹,Ma Yingcai¹,Ou Wenwu¹,Zhu Junxiong¹,Wang Beidou²,Guan Ziyu³,Cai Deng²

Affiliation:

1. Alibaba Group, Hangzhou, China

2. State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China

3. Xidian University, Xi'an, China

Funder

Major Basic Research Project of Shaanxi Province

Shaanxi Province Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3357384.3357805

Reference36 articles.

1. Shi-Yong Chen Yang Yu Qing Da Jun Tan Hai-Kuan Huang and Hai-Hong Tang. 2018. Stabilizing reinforcement learning in dynamic environment with application to online recommendation. In KDD. ACM 1187--1196. Shi-Yong Chen Yang Yu Qing Da Jun Tan Hai-Kuan Huang and Hai-Hong Tang. 2018. Stabilizing reinforcement learning in dynamic environment with application to online recommendation. In KDD. ACM 1187--1196.

2. Wide & Deep Learning for Recommender Systems

3. Jan K Chorowski Dzmitry Bahdanau Dmitriy Serdyuk Kyunghyun Cho and Yoshua Bengio. 2015. Attention-based models for speech recognition. In NIPS. 577--585. Jan K Chorowski Dzmitry Bahdanau Dmitriy Serdyuk Kyunghyun Cho and Yoshua Bengio. 2015. Attention-based models for speech recognition. In NIPS. 577--585.

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