Modeling User Behavior with Graph Convolution for Personalized Product Search-Reference-Cited by-同舟云学术

Modeling User Behavior with Graph Convolution for Personalized Product Search

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Fan Lu¹,Li Qimai¹,Liu Bo¹,Wu Xiao-Ming¹,Zhang Xiaotong²,Lv Fuyu³,Lin Guli³,Li Sen³,Jin Taiwei³,Yang Keping³

Affiliation:

1. The Hong Kong Polytechnic University, China

2. Dalian University of Technology, China

3. Alibaba Group, China

Funder

Alibaba DAMO Academy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3511949

Reference39 articles.

1. A Zero Attention Model for Personalized Product Search

2. Learning a Hierarchical Embedding Model for Personalized Product Search

3. Explainable Product Search with a Dynamic Relation Embedding Model

4. Ismail Badache . 2019 . Exploring Differences in the Impact of Users’ Traces on Arabic and English Facebook Search. In 2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019 , Thessaloniki, Greece , October 14-17, 2019. 225–232. Ismail Badache. 2019. Exploring Differences in the Impact of Users’ Traces on Arabic and English Facebook Search. In 2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019, Thessaloniki, Greece, October 14-17, 2019. 225–232.

5. Fresh and Diverse Social Signals

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