A Zero Attention Model for Personalized Product Search

Author:

Ai Qingyao1,Hill Daniel N.2,Vishwanathan S. V. N.3,Croft W. Bruce4

Affiliation:

1. University of Utah, Salt Lake City, UT, USA

2. Amazon Search, Berkeley, CA, USA

3. Amazon Search, Palo Alto, CA, USA

4. UMass Amherst, Amherst, MA, USA

Publisher

ACM

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparison of Transformer-based Architectures for Product Categorization;2023 International Conference on Computer and Applications (ICCA);2023-11-28

2. Query-dominant User Interest Network for Large-Scale Search Ranking;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

3. Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search;ACM Transactions on the Web;2023-10-10

4. A Personalized Dense Retrieval Framework for Unified Information Access;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

5. GARCIA: Powering Representations of Long-tail Query with Multi–granularity Contrastive Learning;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

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