Neural network applications for automatic new topic identification on excite web search engine data logs

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dc.contributor.authorSpink, Amanda
dc.contributor.buuauthorÖzmutlu, H. Cenk
dc.contributor.buuauthorÇavdur, Fatih
dc.contributor.buuauthorÖzmutlu, Seda
dc.contributor.departmentUludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü.tr_TR
dc.contributor.orcid0000-0001-8054-5606tr_TR
dc.contributor.researcheridABH-5209-2020tr_TR
dc.contributor.researcheridAAH-4480-2021tr_TR
dc.contributor.researcheridAAG-9471-2021tr_TR
dc.contributor.scopusid6603061328tr_TR
dc.contributor.scopusid8419687000tr_TR
dc.contributor.scopusid6603660605tr_TR
dc.date.accessioned2022-04-25T07:07:06Z
dc.date.available2022-04-25T07:07:06Z
dc.date.issued2004
dc.descriptionBu çalışma, 12-17 Kasım 2004 tarihleri arasında Rhode Island[Amerika Birleşik Devletleri]’nde düzenlenen 67. Annual Meeting of the American Society for Information Science and Technology’de bildiri olarak sunulmuştur.tr_TR
dc.description.abstractThe analysis of contextual information in search engine query logs is an important, yet difficult task. Users submit few queries, and search multiple topics sometimes with closely related context. Identification of topic changes within a search session is an important branch of contextual information analysis. The purpose of this study is to propose a topic identification algorithm using neural networks. A sample from the Excite data log is selected to train the neural network and then the neural network is used to identify topic changes in the data log. As a result, 76% of topic shifts and 92% of topic continuations are identified correctly.en_US
dc.description.sponsorshipSponsor: Amer Soc Informat Sci & Technolen_US
dc.identifier.citationÖzmutlu, H. C. vd. (2004). “Neural network applications for automatic new topic identification on excite web search engine data logs”. Proceedings of the Asist Annual Meeting, Asist 2004: Proceedings of the 67th Asist Annual Meeting, 41, 310-316.en_US
dc.identifier.endpage316tr_TR
dc.identifier.issn0044-7870
dc.identifier.scopus2-s2.0-29244478992tr_TR
dc.identifier.startpage310tr_TR
dc.identifier.urihttps://doi.org/10.1002/meet.1450410137
dc.identifier.urihttps://asistdl.onlinelibrary.wiley.com/doi/10.1002/meet.1450410137
dc.identifier.urihttp://hdl.handle.net/11452/26022
dc.identifier.volume41tr_TR
dc.identifier.wos000226136800037tr_TR
dc.indexed.scopusScopusen_US
dc.indexed.wosCPCISen_US
dc.indexed.wosCPCISSHen_US
dc.language.isoenen_US
dc.publisherInformation Todayen_US
dc.relation.collaborationYurt dışıtr_TR
dc.relation.journalProceeding of the Asist Annual Meeting, Asist 2004: Proceedings of the 67th Asis&t Annual Meetingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararasıtr_TR
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectComputer scienceen_US
dc.subjectInformation science and library scienceen_US
dc.subjectSearch engineen_US
dc.subjectTopic identificationen_US
dc.subjectSession identificationen_US
dc.subjectNeural networksen_US
dc.subjectInformation-seekingen_US
dc.subjectContexten_US
dc.subjectUsersen_US
dc.subject.scopusQuery Reformulation; Image Indexing; Information Retrievalen_US
dc.subject.wosComputer science, information systemsen_US
dc.subject.wosInformation science and library scienceen_US
dc.titleNeural network applications for automatic new topic identification on excite web search engine data logsen_US
dc.typeProceedings Paper

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