Enhancing Next-Item Recommendation Through Adaptive User Group Modeling-Reference-Cited by-同舟云学术

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Enhancing Next-Item Recommendation Through Adaptive User Group Modeling

Published:2023-06 Issue:2 Volume:4 Page:112-124
ISSN:2688-5255
Container-title:Journal of Social Computing
language:
Short-container-title:J. Soc. Comput.

Author:

Zhu Nengjun¹,Sun Lingdan¹,Cao Jian²,Lu Xinjiang³,Li Runtong⁴

Affiliation:

1. School of Computer Engineering and Science, Shanghai University,Shanghai,China,200444

2. Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China,200240

3. Baidu Research,Business Intelligence Lab,Beijing,China,100085

4. Tsinghua University,Department of Electronic Engineering,Beijing,China,100084

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Communication,Information Systems,Computer Science Applications,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/8964404/10239701/10239705.pdf?arnumber=10239705

Reference35 articles.

1. Intent-aware Ranking Ensemble for Personalized Recommendation

2. Session-based recommendations with recurrent neural networks;hidasi,0

3. Disentangling Long and Short-Term Interests for Recommendation

4. Friendship and mobility

5. Local Latent Space Models for Top-N Recommendation

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