Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation-Reference-Cited by-同舟云学术

Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation

Published:2024-01 Issue:1 Volume:36 Page:199-210
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Su Ting-Ting¹^ORCID,Wang Chang-Dong¹^ORCID,Xi Wu-Dong²^ORCID,Lai Jian-Huang¹^ORCID,Yu Philip S.³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Guangdong Province Key Laboratory of Computational Science, Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China

2. UX Center, NetEase Games, Guangzhou, China

3. Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Guangdong Province Key Laboratory of Computational Science

Sun Yat-sen University

National Science Foundation

UX Center

Netease Games

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

https://ieeexplore.ieee.org/ielam/69/10348031/10144403-aam.pdf

Reference37 articles.

1. Graph Contextualized Self-Attention Network for Session-based Recommendation

2. A BP Neural Network Based Recommender Framework with Attention Mechanism

3. Correlation-Sensitive Next-Basket Recommendation

4. The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation

5. Explainable Reasoning over Knowledge Graphs for Recommendation

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