Contrastive Learning for User Sequence Representation in Personalized Product Search-Reference-Cited by-同舟云学术

Contrastive Learning for User Sequence Representation in Personalized Product Search

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

Dai Shitong¹^ORCID,Liu Jiongnan¹^ORCID,Dou Zhicheng¹^ORCID,Wang Haonan²^ORCID,Liu Lin²^ORCID,Long Bo²^ORCID,Wen Ji-Rong³^ORCID

Affiliation:

1. Renmin University of China, Beijing, China

2. JD.com, Inc., Beijing, China

3. Engineering Research Center of Next-Generation Intelligent Search and Recommendation, Ministry of Education, Beijing, China

Funder

Beijing Outstanding Young Scientist Program

National Key R\&D Program of China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599287

Reference49 articles.

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2. Qingyao Ai Daniel N Hill SVN Vishwanathan and W Bruce Croft. 2019a. A zero attention model for personalized product search. In CIKM. 379--388. Qingyao Ai Daniel N Hill SVN Vishwanathan and W Bruce Croft. 2019a. A zero attention model for personalized product search. In CIKM. 379--388.

3. Qingyao Ai and Lakshmi Narayanan Ramasamy . 2021 . Model-agnostic vs . Model-intrinsic Interpretability for Explainable Product Search. In CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event , Queensland, Australia, November 1 - 5 , 2021. ACM, 5--15. Qingyao Ai and Lakshmi Narayanan Ramasamy. 2021. Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search. In CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. ACM, 5--15.

4. Learning a Hierarchical Embedding Model for Personalized Product Search

5. Explainable Product Search with a Dynamic Relation Embedding Model