Exploiting Intent Evolution in E-commercial Query Recommendation-Reference-Cited by-同舟云学术

Exploiting Intent Evolution in E-commercial Query Recommendation

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:

Wang Yu¹^ORCID,Wang Zhengyang²^ORCID,Zhang Hengrui¹^ORCID,Yin Qingyu³^ORCID,Tang Xianfeng³^ORCID,Wang Yinghan³^ORCID,Zhang Danqing³^ORCID,Cui Limeng³^ORCID,Cheng Monica³^ORCID,Yin Bing³^ORCID,Wang Suhang³^ORCID,Yu Philip S.¹^ORCID

Affiliation:

1. University of Illinois Chicago, Chicago, IL, USA

2. Amazon, Seattle, WA, USA

3. Amazon, Palo Alto, CA, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599821

Reference44 articles.

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2. Context Attentive Document Ranking and Query Suggestion

3. Query suggestions using query-flow graphs

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5. Jia Chen Jiaxin Mao Yiqun Liu Ziyi Ye Weizhi Ma Chao Wang Min Zhang and Shaoping Ma. 2021a. A Hybrid Framework for Session Context Modeling. 1--35. Jia Chen Jiaxin Mao Yiqun Liu Ziyi Ye Weizhi Ma Chao Wang Min Zhang and Shaoping Ma. 2021a. A Hybrid Framework for Session Context Modeling. 1--35.