Exploiting Group-Level Behavior Pattern for Session-Based Recommendation-Reference-Cited by-同舟云学术

Exploiting Group-Level Behavior Pattern for Session-Based Recommendation

Published:2024-01 Issue:1 Volume:36 Page:152-166
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Wang Ziyang¹^ORCID,Wei Wei¹^ORCID,Feng Shanshan²^ORCID,Mao Xian-Ling³^ORCID,Qiu Minghui⁴^ORCID,Chen Dangyang⁵^ORCID,Fang Rui⁵^ORCID

Affiliation:

1. Cognitive Computing and Intelligent Information Processing (CCIIP) Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

2. Centre for Frontier AI Research, IHPC, A*STAR, Singapore

3. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

4. Alibaba Group, Hangzhou, China

5. Ping An Property & Casualty Insurance Company of China, Ltd, Shenzhen, China

Funder

National Natural Science Foundation of China

HUST and Pingan Property & Casualty Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10348031/10145850.pdf?arnumber=10145850

Reference54 articles.

1. FISM

2. Collaborative Metric Learning

3. RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation

4. Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

5. An MDP-based recommender system;Shani;J. Mach. Learn. Res.,2005

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