Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation-Reference-Cited by-同舟云学术

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Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation

Published:2024-07-10 Issue: Volume:453 Page:946-955
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
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Author:

Yan Mingshi¹^ORCID,Liu Fan²^ORCID,Sun Jing³^ORCID,Sun Fuming³^ORCID,Cheng Zhiyong⁴^ORCID,Han Yahong¹^ORCID

Affiliation:

1. College of Intelligence and Computing, Tianjin University, Tianjin, China

2. School of Computing, National University of Singapore, Singapore, Singapore

3. School of Information and Communication Engineering, Dalian Minzu University, Dalian, China

4. School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657696

Reference36 articles.

1. Graph Heterogeneous Multi-Relational Recommendation

2. Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation

3. Wide & Deep Learning for Recommender Systems

4. Multi-Behavior Recommendation with Cascading Graph Convolution Networks

5. Improving Implicit Recommender Systems with View Data

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