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Agglomerative clustering of a search engine query log

Authors:

Doug Beeferman,

Adam BergerAuthors Info & Claims

KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

Pages 407 - 416

https://doi.org/10.1145/347090.347176

Published: 01 August 2000 Publication History

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Cited By

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Sultana TMandal ASaha HSultan MHossain M(2024)Intent Identification by Semantically Analyzing the Search QueryModelling10.3390/modelling50100165:1(292-314)Online publication date: 22-Feb-2024
https://doi.org/10.3390/modelling5010016
Lindstrom HCorona Pampin HPalumbo ELiu A(2024)Encouraging Exploration in Spotify Search through Query RecommendationsProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3688035(775-777)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3640457.3688035
Wang CHuang JWang YLin ZJin XJin XWeng DWu Y(2024)A Deep Spatiotemporal Trajectory Representation Learning Framework for ClusteringIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2024.335033925:7(7687-7700)Online publication date: Jul-2024
https://doi.org/10.1109/TITS.2024.3350339
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Agglomerative clustering of a search engine query log

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Published In

KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

August 2000

537 pages

ISBN:1581132336

DOI:10.1145/347090

Chairmen:
Raghu Ramakrishnan
Univ. of Wisconsin
,
Sal Stolfo
Columbia Univ., New York, NY
,
Roberto Bayardo
IBM Almaden Research Center, San Jose, CA
,
Ismail Parsa
Epsilon

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 2000

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KDD00: The Second Annual International Conference on Knowledge Discovery in Data

August 20 - 23, 2000

Massachusetts, Boston, USA

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Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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Cited By

View all

Sultana TMandal ASaha HSultan MHossain M(2024)Intent Identification by Semantically Analyzing the Search QueryModelling10.3390/modelling50100165:1(292-314)Online publication date: 22-Feb-2024
https://doi.org/10.3390/modelling5010016
Lindstrom HCorona Pampin HPalumbo ELiu A(2024)Encouraging Exploration in Spotify Search through Query RecommendationsProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3688035(775-777)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3640457.3688035
Wang CHuang JWang YLin ZJin XJin XWeng DWu Y(2024)A Deep Spatiotemporal Trajectory Representation Learning Framework for ClusteringIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2024.335033925:7(7687-7700)Online publication date: Jul-2024
https://doi.org/10.1109/TITS.2024.3350339
Hashemi SNyyssölä JMäntylä M(2024)LogPM: Character-Based Log Parser Benchmark2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER60148.2024.00077(705-710)Online publication date: 12-Mar-2024
https://doi.org/10.1109/SANER60148.2024.00077
Palumbo EDamianou AWang ALiu AFazelnia GFabbri FFerreira RSilvestri FBouchard HHauff CLalmas MCarterette BChandar PNyhan DFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)Graph Learning for Exploratory Query Suggestions in an Instant Search SystemProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615481(4780-4786)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3583780.3615481
Yu PRahimi RHuang ZAllan JFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)Search Result Diversification Using Query Aspects as BottlenecksProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615050(3040-3051)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3583780.3615050
Reimer JSchmidt SFröbe MGienapp LScells HStein BHagen MPotthast MChen HDuh WHuang HKato MMothe JPoblete B(2023)The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web ArchivesProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591890(2848-2860)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3591890
Liu ACorona Pampin HPalumbo EChen HDuh WHuang HKato MMothe JPoblete B(2023)Bootstrapping Query Suggestions in Spotify's Instant Search SystemProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591827(3230-3234)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3591827
Li XLi QLiang FWang W(2023)Multi-granularity Pseudo-label Collaboration for unsupervised person re-identificationComputer Vision and Image Understanding10.1016/j.cviu.2022.103616227(103616)Online publication date: Jan-2023
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Li XLi QXue WLiu YLiang FWang W(2023)Confidence-adapted meta-interaction for unsupervised person re-identificationApplied Intelligence10.1007/s10489-023-04863-353:21(25525-25542)Online publication date: 9-Aug-2023
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Mining query subtopics from search log data

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