Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation-Reference-Cited by-全球学者库

Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation

Published:2022-10-17 Issue: Volume: Page:
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Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Li Xinhang¹,Qiu Zhaopeng²,Zhao Xiangyu³,Wang Zihao⁴,Zhang Yong¹,Xing Chunxiao¹,Wu Xian²

Affiliation:

1. Tsinghua University, Beijing, China

2. Tencent Jarvis Lab, Beijing, China

3. City University of Hong Kong, Hong Kong, Hong Kong

4. Hong Kong University of Science and Technology, Hong Kong, Hong Kong

Funder

2021 Tencent Rhino-Bird Research Elite Training Program

APRC - CityU New Research Initiatives

HKIDS Early Career Research Grant

National Key R&D Program of China

CCF-Tencent Open Fund

SIRG - CityU Strategic Interdisciplinary Research Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557338

Reference37 articles.

1. Gromov-Wasserstein Alignment of Word Embedding Spaces

2. Martín Arjovsky , Soumith Chintala , and Léon Bottou . 2017. Wasserstein GAN. CoRR, Vol. abs/1701.07875 ( 2017 ). Martín Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein GAN. CoRR, Vol. abs/1701.07875 (2017).

3. DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain

4. A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users

5. Qiang Cui , Tao Wei , Yafeng Zhang , and Qing Zhang . 2020. HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation . In Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020 ), Virtual Event, September 25, 2020 (CEUR Workshop Proceedings), Vol. 2715 . CEUR-WS. org. Qiang Cui, Tao Wei, Yafeng Zhang, and Qing Zhang. 2020. HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation. In Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), Virtual Event, September 25, 2020 (CEUR Workshop Proceedings), Vol. 2715. CEUR-WS.org.

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