APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation-Reference-Cited by-同舟云学术

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Yin Mingjia¹^ORCID,Wang Hao¹^ORCID,Xu Xiang¹^ORCID,Wu Likang¹^ORCID,Zhao Sirui¹^ORCID,Guo Wei²^ORCID,Liu Yong²^ORCID,Tang Ruiming³^ORCID,Lian Defu¹^ORCID,Chen Enhong¹^ORCID

Affiliation:

1. University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence, Hefei, China

2. Huawei Singapore Research Center, Singapore, Singapore

3. Huawei Noah's Ark Lab, Shenzhen, China

Funder

National Natural Science Foundation of China

Young Scientists Fund of the Natural Science Foundation of Sichuan Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614781

Reference70 articles.

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3. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607.

4. Handling Information Loss of Graph Neural Networks for Session-based Recommendation

5. Exploring Simple Siamese Representation Learning

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