Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation-Reference-Cited by-同舟云学术

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Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation

Published:2024-08-24 Issue: Volume:1 Page:329-340
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Chen Ming¹^ORCID,Pan Weike²^ORCID,Ming Zhong³^ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, GuangDong, China

2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

3. Shenzhen University & Shenzhen Technology University, Shenzhen, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671755

Reference49 articles.

1. Recommender systems survey

2. Jianxin Chang Chen Gao Yu Zheng Yiqun Hui Yanan Niu Yang Song Depeng Jin and Yong Li. 2021. Sequential recommendation with graph neural networks. In SIGIR. 378--387.

3. Hong Chen Bin Huang Xin Wang Yuwei Zhou and Wenwu Zhu. 2023. Global-local GraphFormer: Towards better understanding of user intentions in sequential recommendation. In MM Asia. 1--7.

4. Weixin Chen Mingkai He Yongxin Ni Weike Pan Li Chen and Zhong Ming. 2022. Global and personalized graphs for heterogeneous sequential recommendation by learning behavior transitions and user intentions. In RecSys. 268--277.

5. Xiaoqing Chen, Zhitao Li, Weike Pan, and Zhong Ming. 2023. A survey on multi-behavior sequential recommendation. arXiv:2308.15701 (2023).

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