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http://hdl.handle.net/11452/25260
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Dublin Core Alanı | Değer | Dil |
---|---|---|
dc.date.accessioned | 2022-03-22T07:54:25Z | - |
dc.date.available | 2022-03-22T07:54:25Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | Özmutlu, S. ve Coşar, C. G. (2009). "Defining topic boundaries in search engine transaction logs using genetic algorithms". Applied Artificial Intelligence, 23(10), 910-931. | en_US |
dc.identifier.issn | 0883-9514 | - |
dc.identifier.uri | https://doi.org/10.1080/08839510903363446 | - |
dc.identifier.uri | https://www.tandfonline.com/doi/full/10.1080/08839510903363446 | - |
dc.identifier.uri | http://hdl.handle.net/11452/25260 | - |
dc.description.abstract | This study proposes to use genetic algorithms for defining the topic boundaries in search of engine transaction logs. Users are interested in multiple topics during a search session, and genetic algorithms are used in this study to determine whether a search engine user has changed topics during a session. Sample data logs from FAST and Excite search engines were analyzed. The findings show that genetic algorithms are fairly successful in identifying topic continuations and shifts in search engine transaction logs. | en_US |
dc.description.sponsorship | National Young Researchers Career Development Project (105M320) | en_US |
dc.description.sponsorship | Web Mining and Industrial Engineering Techniques | en_US |
dc.language.iso | en | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Session identification | en_US |
dc.subject | Web | en_US |
dc.subject | Engines | en_US |
dc.subject | Genetic algorithms | en_US |
dc.subject | Search engines | en_US |
dc.subject | World Wide Web | en_US |
dc.subject | Sample data | en_US |
dc.subject | Search sessions | en_US |
dc.subject | Transaction log | en_US |
dc.subject | Information retrieval | en_US |
dc.subject | Computer science | en_US |
dc.subject | Engineering | en_US |
dc.title | Defining topic boundaries in search engine transaction logs using genetic algorithms | en_US |
dc.type | Article | en_US |
dc.identifier.wos | 000271813000002 | tr_TR |
dc.identifier.scopus | 2-s2.0-71949102337 | tr_TR |
dc.relation.tubitak | TÜBİTAK | tr_TR |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü. | tr_TR |
dc.identifier.startpage | 910 | tr_TR |
dc.identifier.endpage | 931 | tr_TR |
dc.identifier.volume | 23 | tr_TR |
dc.identifier.issue | 10 | tr_TR |
dc.relation.journal | Applied Artificial Intelligence | en_US |
dc.contributor.buuauthor | Özmutlu, Seda | - |
dc.contributor.buuauthor | Coşar, Coşkun Gencer | - |
dc.contributor.researcherid | AAH-4480-2021 | tr_TR |
dc.subject.wos | Computer science, artificial intelligence | en_US |
dc.subject.wos | Engineering, electrical & electronic | en_US |
dc.indexed.wos | SCIE | en_US |
dc.indexed.wos | SSCI | en_US |
dc.indexed.scopus | Scopus | en_US |
dc.wos.quartile | Q4 (Computer science, artificial intelligence) | en_US |
dc.wos.quartile | Q3 (Engineering, electrical & electronic) | en_US |
dc.contributor.scopusid | 6603660605 | tr_TR |
dc.contributor.scopusid | 35247811700 | tr_TR |
dc.subject.scopus | Query Reformulation; Image Indexing; Information Retrieval | en_US |
Koleksiyonlarda Görünür: | Scopus Web of Science |
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