E-commerce Search via Content Collaborative Graph Neural Network-Reference-Cited by-同舟云学术

E-commerce Search via Content Collaborative Graph Neural Network

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
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Author:

Xv Guipeng¹^ORCID,Lin Chen¹^ORCID,Guan Wanxian²^ORCID,Gou Jinping²^ORCID,Li Xubin²^ORCID,Deng Hongbo²^ORCID,Xu Jian²^ORCID,Zheng Bo²^ORCID

Affiliation:

1. School of Informatics, Xiamen University, Xiamen, China

2. Alibaba Group, Hangzhou, China

Funder

National Key R&D Program of China

Alibaba Group through Alibaba Innovative Research program

Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599320

Reference52 articles.

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3. IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search

4. Qiannan Cheng , Zhaochun Ren , Yujie Lin , Pengjie Ren , Zhumin Chen , Xiangyuan Liu , and Maarten de de Rijke. 2021. Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction . In Proceedings of the Web Conference 2021 ( Ljubljana, Slovenia) (WWW '21). New York, NY, USA, 239--248. https://doi.org/10.1145/3442381.3449941 10.1145/3442381.3449941 Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu, and Maarten de de Rijke. 2021. Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction. In Proceedings of the Web Conference 2021 (Ljubljana, Slovenia) (WWW '21). New York, NY, USA, 239--248. https://doi.org/10.1145/3442381.3449941

5. An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search

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