Article

Clustering user queries of a search engine

Authors:

Ji-Rong Wen,

Jian-Yun Nie,

Hong-Jiang ZhangAuthors Info & Claims

WWW '01: Proceedings of the 10th international conference on World Wide Web

Pages 162 - 168

https://doi.org/10.1145/371920.371974

Published: 01 April 2001 Publication History

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Published In

WWW '01: Proceedings of the 10th international conference on World Wide Web

May 2001

770 pages

ISBN:1581133480

DOI:10.1145/371920

Chairmen:
Vincent Y. Shen
Hong Kong Univ. of Science and Technology
,
Nobuo Saito
Keio Univ., Japan
,
Michael R. Lyu
Chinese Univ. of Hong Kong, HK
,
Mary Ellen Zurko
Iris Associates,USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

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Published: 01 April 2001

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IW3C2

WWW01: Hypermedia Track of the 10th International World Wide Web Conference

May 1 - 5, 2001

Hong Kong, Hong Kong

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Li YBi JLiu JYang Y(2024)A supervised weeding method to cluster high dimensional predictors with application to job market analysisJournal of Applied Statistics10.1080/02664763.2024.234863451:16(3350-3365)Online publication date: May-2024
https://doi.org/10.1080/02664763.2024.2348634
Yu HGong YLiu J(2023)A systematic literature review on port competitivenessInternational Journal of Logistics Research and Applications10.1080/13675567.2023.2187355(1-25)Online publication date: 20-Mar-2023
https://doi.org/10.1080/13675567.2023.2187355
Barman DSarkar RChowdhury N(2023)A cooperative co-evolutionary genetic algorithm for query recommendationMultimedia Tools and Applications10.1007/s11042-023-15585-683:4(11461-11491)Online publication date: 29-Jun-2023
https://doi.org/10.1007/s11042-023-15585-6
Zhou ZZhou XLi MSong YZhang TYan RAl Hasan MXiong L(2022)Personalized Query Suggestion with Searching Dynamic Flow for Online RecruitmentProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557416(2773-2783)Online publication date: 17-Oct-2022
https://dl.acm.org/doi/10.1145/3511808.3557416
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Badarinza ISterca ABufnea DNiculescu V(2021)Integration Challenges for a Web-based Personalized Query Suggestions System in Information Retrieval2021 IEEE/ACIS 19th International Conference on Software Engineering Research, Management and Applications (SERA)10.1109/SERA51205.2021.9509276(2-9)Online publication date: 20-Jun-2021
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