Multi-Intention Oriented Contrastive Learning for Sequential Recommendation-Reference-Cited by-同舟云学术

Multi-Intention Oriented Contrastive Learning for Sequential Recommendation

Published:2023-02-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
language:
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Author:

Li Xuewei¹^ORCID,Sun Aitong¹^ORCID,Zhao Mankun¹^ORCID,Yu Jian¹^ORCID,Zhu Kun¹^ORCID,Jin Di¹^ORCID,Yu Mei¹^ORCID,Yu Ruiguo¹^ORCID

Affiliation:

1. Tianjin University, Tianjin, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539597.3570411

Reference48 articles.

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2. Renqin Cai Jibang Wu Aidan San Chong Wang and Hongning Wang. 2021. Category-aware collaborative sequential recommendation. In SIGIR. 388--397. Renqin Cai Jibang Wu Aidan San Chong Wang and Hongning Wang. 2021. Category-aware collaborative sequential recommendation. In SIGIR. 388--397.

3. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020a. A simple framework for contrastive learning of visual representations. In ICML. PMLR 1597--1607. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020a. A simple framework for contrastive learning of visual representations. In ICML. PMLR 1597--1607.

4. Sequence-Aware Factorization Machines for Temporal Predictive Analytics

5. Wanyu Chen Pengjie Ren Fei Cai Fei Sun and Maarten de Rijke. 2020b. Improving end-to-end sequential recommendations with intent-aware diversification. In CIKM. 175--184. Wanyu Chen Pengjie Ren Fei Cai Fei Sun and Maarten de Rijke. 2020b. Improving end-to-end sequential recommendations with intent-aware diversification. In CIKM. 175--184.

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