New query suggestion framework and algorithms: A case study for an educational search engine

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dc.contributor.authorVidinli, I. Bahattin
dc.contributor.authorOzcan, Rifat
dc.date.accessioned2025-10-24T18:09:02Z
dc.date.available2025-10-24T18:09:02Z
dc.date.issued2016
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractQuery suggestion is generally an integrated part of web search engines. In this study, we first redefine and reduce the query suggestion problem as comparison of queries. We then propose a general modular framework for query suggestion algorithm development. We also develop new query suggestion algorithms which are used in our proposed framework, exploiting query, session and user features. As a case study, we use query logs of a real educational search engine that targets K-12 students in Turkey. We also exploit educational features (course, grade) in our query suggestion algorithms. We test our framework and algorithms over a set of queries by an experiment and demonstrate a 66-90% statistically significant increase in relevance of query suggestions compared to a baseline method. (C) 2016 Elsevier Ltd. All rights reserved.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [113E065]
dc.description.sponsorshipThis work is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) under Grant no. 113E065.
dc.identifier.doi10.1016/j.ipm.2016.02.001
dc.identifier.endpage752
dc.identifier.issn0306-4573
dc.identifier.issn1873-5371
dc.identifier.issue5
dc.identifier.scopus2-s2.0-84960984070
dc.identifier.scopusqualityQ1
dc.identifier.startpage733
dc.identifier.urihttps://doi.org/10.1016/j.ipm.2016.02.001
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3440
dc.identifier.volume52
dc.identifier.wosWOS:000381540600002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofInformation Processing & Management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectQuery suggestion; Framework; Educational search engine; Query recommendation
dc.titleNew query suggestion framework and algorithms: A case study for an educational search engine
dc.typeArticle

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