article

Application of automatic topic identification on Excite Web search engine data logs

Authors:

H. Cenk Ozmutlu,

Fatih ÇavdurAuthors Info & Claims

Information Processing and Management: an International Journal, Volume 41, Issue 5

Pages 1243 - 1262

https://doi.org/10.1016/j.ipm.2004.04.018

Published: 01 September 2005 Publication History

Abstract

The analysis of contextual information in search engine query logs enhances the understanding of Web users' search patterns. Obtaining contextual information on Web search engine logs is a difficult task, since users submit few number of queries, and search multiple topics. Identification of topic changes within a search session is an important branch of search engine user behavior analysis. The purpose of this study is to investigate the properties of a specific topic identification methodology in detail, and to test its validity. The topic identification algorithm's performance becomes doubtful in various cases. These cases are explored and the reasons underlying the inconsistent performance of automatic topic identification are investigated with statistical analysis and experimental design techniques.

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Cited By

Jung SSegev AAlam MBuscaldi DCochez MOsborne FRefogiato Recupero DSack H(2022)Analyzing the generalizability of the network-based topic emergence identification methodSemantic Web10.3233/SW-21295113:3(423-439)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/SW-212951
Tamine LMelgarejo JPinel-Sauvagnat K(2020)What Can Task Teach Us About Query Reformulations?Advances in Information Retrieval10.1007/978-3-030-45439-5_42(636-650)Online publication date: 14-Apr-2020
https://dl.acm.org/doi/10.1007/978-3-030-45439-5_42
Hashemi SWilliams KEl Kholy AZitouni ICrook PCuzzocrea AAllan JPaton NSrivastava DAgrawal RBroder AZaki MCandan SLabrinidis ASchuster AWang H(2018)Impact of Domain and User's Learning Phase on Task and Session Identification in Smart Speaker Intelligent AssistantsProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3271803(1193-1202)Online publication date: 17-Oct-2018
https://dl.acm.org/doi/10.1145/3269206.3271803
Show More Cited By

Index Terms

Application of automatic topic identification on Excite Web search engine data logs
1. Information systems
  1. Information retrieval
  2. World Wide Web
    1. Web applications
    2. Web services

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cover image Information Processing and Management: an International Journal

Information Processing and Management: an International Journal Volume 41, Issue 5

September 2005

313 pages

ISSN:0306-4573

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2004.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 September 2005

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Cited By

Jung SSegev AAlam MBuscaldi DCochez MOsborne FRefogiato Recupero DSack H(2022)Analyzing the generalizability of the network-based topic emergence identification methodSemantic Web10.3233/SW-21295113:3(423-439)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/SW-212951
Tamine LMelgarejo JPinel-Sauvagnat K(2020)What Can Task Teach Us About Query Reformulations?Advances in Information Retrieval10.1007/978-3-030-45439-5_42(636-650)Online publication date: 14-Apr-2020
https://dl.acm.org/doi/10.1007/978-3-030-45439-5_42
Hashemi SWilliams KEl Kholy AZitouni ICrook PCuzzocrea AAllan JPaton NSrivastava DAgrawal RBroder AZaki MCandan SLabrinidis ASchuster AWang H(2018)Impact of Domain and User's Learning Phase on Task and Session Identification in Smart Speaker Intelligent AssistantsProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3271803(1193-1202)Online publication date: 17-Oct-2018
https://dl.acm.org/doi/10.1145/3269206.3271803
Gencosman BOzmutlu HOzmutlu S(2014)Character n-gram application for automatic new topic identificationInformation Processing and Management: an International Journal10.1016/j.ipm.2014.06.00550:6(821-856)Online publication date: 1-Nov-2014
https://dl.acm.org/doi/10.1016/j.ipm.2014.06.005
Lucchese COrlando SPerego RSilvestri FTolomei G(2013)Discovering tasks from search engine query logsACM Transactions on Information Systems10.1145/2493175.249317931:3(1-43)Online publication date: 5-Aug-2013
https://dl.acm.org/doi/10.1145/2493175.2493179
Lucchese COrlando SPerego RSilvestri FTolomei GKing INejdl WLi H(2011)Identifying task-based sessions in search engine query logsProceedings of the fourth ACM international conference on Web search and data mining10.1145/1935826.1935875(277-286)Online publication date: 9-Feb-2011
https://dl.acm.org/doi/10.1145/1935826.1935875
Huang JWhite RChignell MToms E(2010)Parallel browsing behavior on the webProceedings of the 21st ACM conference on Hypertext and hypermedia10.1145/1810617.1810622(13-18)Online publication date: 13-Jun-2010
https://dl.acm.org/doi/10.1145/1810617.1810622
Ozmutlu S(2010)Identifying the optimal set of parameters for new topic identification through experimental designExpert Systems with Applications: An International Journal10.1016/j.eswa.2010.04.04037:12(7947-7968)Online publication date: 1-Dec-2010
https://dl.acm.org/doi/10.1016/j.eswa.2010.04.040
Jones RKlinkner KShanahan JAmer-Yahia SManolescu IZhang YEvans DKolcz AChoi KChowdury A(2008)Beyond the session timeoutProceedings of the 17th ACM conference on Information and knowledge management10.1145/1458082.1458176(699-708)Online publication date: 26-Oct-2008
https://dl.acm.org/doi/10.1145/1458082.1458176
Ozmutlu SOzmutlu HBuyuk BTew J(2007)Using Monte-Carlo simulation for automatic new topic identification of search engine transaction logsProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351950(2306-2314)Online publication date: 9-Dec-2007
https://dl.acm.org/doi/10.5555/1351542.1351950
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