Application of automatic topic identification on Excite Web search engine data logs
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 c...
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| Published in | Information processing & management Vol. 41; no. 5; pp. 1243 - 1262 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford
Elsevier Ltd
01.09.2005
Elsevier Science Elsevier Science Ltd |
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| Online Access | Get full text |
| ISSN | 0306-4573 1873-5371 |
| DOI | 10.1016/j.ipm.2004.04.018 |
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| 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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| AbstractList | 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. [PUBLICATION 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. (Original 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. |
| Author | Ozmutlu, H. Cenk Çavdur, Fatih |
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| Keywords | Dempster–Shafer Theory Topic identification Genetic algorithm Session identification Search engine Information retrieval Identification Dempster-Shafer Theory Subject Automatic processing World wide web Dempster Shafer theory Log file User behavior |
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| References | Ozmutlu, S., & Harmonosky, C. M. (2003). A real time methodology for minimizing mean flowtime in FMSs with routing flexibility: threshold based Alternate Routing. In Ozmutlu, S., Spink, A., & Ozmutlu, H. C. (2002c). Trends in multimedia Web searching: Excite queries. In Talja, Keso, Pietilainen (bib27) 1999; 35 Miwa, M. (2001). User situations and multiple levels of users goals in information problem solving processes of Ask ERIC users. In Spink, Bateman, Jansen (bib20) 1999; 9 Spink, Jansen, Ozmutlu (bib21) 2000; 10 Silverstein, Henzinger, Marais, Morris (bib18) 1999; 33 Yang (bib29) 1999; 1 Ozmutlu, Spink, Ozmutlu (bib13) 2003; 39 Spink, Ozmutlu, Ozmutlu, Jansen (bib24) 2002; 36 pp. 57–66 Spink, A., Ozmutlu, S., & Ozmutlu, H. C. (2003). A study on question format Web queries from the fast search engine. In Spink, A. (1998). Toward a theoretical framework for information retrieval (IR) within an information seeking context. In Ozmutlu, Spink, Ozmutlu (bib9) 2002; 38 355–371 Shafer (bib17) 1976 Ozmutlu, S., Ozmutlu, H. C., & Spink, A. (2003a). Multitasking Web searching and implications for design. In He, D., & Goker, A. (2000). Detecting session boundaries from Web user logs. In Ozmutlu, S., & Harmonosky, C. M. (in press-a). A real-time methodology for minimizing mean flowtime in FMSs with routing flexibility: threshold-based alternate routing. Ozmutlu, S., Spink, A., & Ozmutlu, H. C. (2003d). A study of multitasking Web search. In Ozmutlu, Ozmutlu, Spink (bib14) 2003; 27 Goker (bib1) 1997; 53 Spink, Ozmutlu, Ozmutlu (bib23) 2002; 53 Ingwersen (bib4) 1996; 52 pp. 145–149 Spink, Jansen, Wolfram, Saracevic (bib22) 2002; 35 He, Goker, Harper (bib3) 2002; 38 Vakkari (bib28) 2001; 57 Ozmutlu, S., & Harmonosky, C. M. (in press-b). A real-time methodology for minimizing mean flowtime in FMSs with machine breakdowns: threshold-based selective rerouting. UK: University of Sheffield, Department of Information Studies Spink, Wolfram, Jansen, Saracevic (bib26) 2001; 53 pp. 416–421 Ozmutlu, Ozmutlu, Spink (bib16) 2004; 40 Ozmutlu, S., Ozmutlu, H. C., & Spink, A. (2002b). Multimedia Web searching. In pp. 40–45 pp. 403–408 Ingwersen (10.1016/j.ipm.2004.04.018_bib4) 1996; 52 Silverstein (10.1016/j.ipm.2004.04.018_bib18) 1999; 33 Spink (10.1016/j.ipm.2004.04.018_bib22) 2002; 35 Ozmutlu (10.1016/j.ipm.2004.04.018_bib16) 2004; 40 Spink (10.1016/j.ipm.2004.04.018_bib21) 2000; 10 Ozmutlu (10.1016/j.ipm.2004.04.018_bib9) 2002; 38 Goker (10.1016/j.ipm.2004.04.018_bib1) 1997; 53 Vakkari (10.1016/j.ipm.2004.04.018_bib28) 2001; 57 Talja (10.1016/j.ipm.2004.04.018_bib27) 1999; 35 He (10.1016/j.ipm.2004.04.018_bib3) 2002; 38 Shafer (10.1016/j.ipm.2004.04.018_bib17) 1976 Spink (10.1016/j.ipm.2004.04.018_bib23) 2002; 53 10.1016/j.ipm.2004.04.018_bib25 Yang (10.1016/j.ipm.2004.04.018_bib29) 1999; 1 Ozmutlu (10.1016/j.ipm.2004.04.018_bib13) 2003; 39 10.1016/j.ipm.2004.04.018_bib6 10.1016/j.ipm.2004.04.018_bib5 10.1016/j.ipm.2004.04.018_bib8 Ozmutlu (10.1016/j.ipm.2004.04.018_bib14) 2003; 27 10.1016/j.ipm.2004.04.018_bib7 10.1016/j.ipm.2004.04.018_bib2 10.1016/j.ipm.2004.04.018_bib11 10.1016/j.ipm.2004.04.018_bib10 10.1016/j.ipm.2004.04.018_bib12 10.1016/j.ipm.2004.04.018_bib19 Spink (10.1016/j.ipm.2004.04.018_bib20) 1999; 9 10.1016/j.ipm.2004.04.018_bib15 Spink (10.1016/j.ipm.2004.04.018_bib24) 2002; 36 Spink (10.1016/j.ipm.2004.04.018_bib26) 2001; 53 |
| References_xml | – reference: Ozmutlu, S., & Harmonosky, C. M. (in press-b). A real-time methodology for minimizing mean flowtime in FMSs with machine breakdowns: threshold-based selective rerouting. – volume: 52 start-page: 3 year: 1996 end-page: 50 ident: bib4 article-title: Cognitive perspectives of information retrieval interaction: elements of a cognitive IR theory publication-title: Journal of Documentation – volume: 27 start-page: 396 year: 2003 end-page: 406 ident: bib14 article-title: Are people asking questions of general Web search engines publication-title: Online Information Review – volume: 10 start-page: 317 year: 2000 end-page: 328 ident: bib21 article-title: Use of query reformulation and relevance feedback by Web users publication-title: Internet Research: Electronic Networking Applications and Policy – reference: (pp. 57–66) – volume: 38 start-page: 727 year: 2002 end-page: 742 ident: bib3 article-title: Combining evidence for automatic Web session identification publication-title: Information Processing and Management – volume: 53 start-page: 639 year: 2002 end-page: 652 ident: bib23 article-title: Multitasking information seeking and searching processes publication-title: Journal of the American Society for Information Science and Technology – volume: 35 start-page: 751 year: 1999 end-page: 763 ident: bib27 article-title: The production of ‘context’ in information seeking research: a metatheoretical view publication-title: Information Processing and Management – reference: Ozmutlu, S., Spink, A., & Ozmutlu, H. C. (2002c). Trends in multimedia Web searching: Excite queries. In – reference: (pp. 40–45) – reference: Ozmutlu, S., & Harmonosky, C. M. (in press-a). A real-time methodology for minimizing mean flowtime in FMSs with routing flexibility: threshold-based alternate routing. – reference: Ozmutlu, S., Ozmutlu, H. C., & Spink, A. (2002b). Multimedia Web searching. In – reference: Miwa, M. (2001). User situations and multiple levels of users goals in information problem solving processes of Ask ERIC users. In – reference: Spink, A. (1998). Toward a theoretical framework for information retrieval (IR) within an information seeking context. In – volume: 53 start-page: 80 year: 1997 end-page: 83 ident: bib1 article-title: Context learning in Okapi publication-title: Journal of Documentation – volume: 38 start-page: 473 year: 2002 end-page: 490 ident: bib9 article-title: Analysis of large data logs: an application of Poisson sampling on Excite Web queries publication-title: Information Processing and Management – volume: 33 year: 1999 ident: bib18 article-title: Analysis of a very large Web search engine query log publication-title: ACM SIGIR Forum – volume: 57 start-page: 44 year: 2001 end-page: 60 ident: bib28 article-title: A theory of the task-based information retrieval process: a summary and generalization of a longitudinal study publication-title: Journal of Documentation – reference: (pp. 145–149) – volume: 40 start-page: 319 year: 2004 end-page: 345 ident: bib16 article-title: A day in the life of Web searching: an exploratory study publication-title: Information Processing and Management – volume: 53 start-page: 226 year: 2001 end-page: 234 ident: bib26 article-title: Searching the Web: the public and their queries publication-title: Journal of the American Society for Information Science and Technology – volume: 1 start-page: 67 year: 1999 end-page: 88 ident: bib29 article-title: An evaluation of statistical approaches to text categorization publication-title: Information Retrieval – reference: , 355–371 – volume: 35 start-page: 133 year: 2002 end-page: 135 ident: bib22 article-title: From e-sex to e-commerce: Web search changes publication-title: IEEE Computer – year: 1976 ident: bib17 article-title: A mathematical theory of evidence – reference: Ozmutlu, S., & Harmonosky, C. 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| SubjectTerms | Content analysis Dempster–Shafer Theory Evaluation Exact sciences and technology Genetic algorithm Information and communication sciences Information processing and retrieval Information retrieval Information retrieval. Man machine relationship Information science. Documentation Online information retrieval Performance measures Research process. Evaluation Sciences and techniques of general use Search engine Search engines Searches Session identification Statistics Studies Topic identification Transaction logs User behavior User behaviour World Wide Web |
| Title | Application of automatic topic identification on Excite Web search engine data logs |
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