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dc.contributor.authorKahveci, B.en_US
dc.contributor.authorAltıngövde, İ. S.en_US
dc.contributor.authorUlusoy, Ö.en_US
dc.date.accessioned2018-04-12T10:54:24Z
dc.date.available2018-04-12T10:54:24Z
dc.date.issued2016en_US
dc.identifier.issn0164-1212
dc.identifier.urihttp://hdl.handle.net/11693/36814
dc.description.abstractAs availability of Internet access on mobile devices develops year after year, users have been able to make use of search services while on the go. Location information on these devices has enabled mobile users to use local search services to access various types of location-related information easily. Mobile local search is inherently different from general web search. Namely, it focuses on local businesses and points of interest instead of general web pages, and finds relevant search results by evaluating different ranking features. It also strongly depends on several contextual factors, such as time, weather, location etc. In previous studies, rankings and mobile user context have been investigated with a small set of features. We developed a mobile local search application, Gezinio, and collected a data set of local search queries with novice social features. We also built ranking models to re-rank search results. We reveal that social features can improve performance of the machine-learned ranking models with respect to a baseline that solely ranks the results based on their distance to user. Furthermore, we find out that a feature that is important for ranking results of a certain query category may not be so useful for other categories.en_US
dc.language.isoEnglishen_US
dc.source.titleThe Journal of Systems and Softwareen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.jss.2016.09.013en_US
dc.subjectLocation-based social networksen_US
dc.subjectMobile local searchen_US
dc.subjectMobile searchen_US
dc.subjectLocationen_US
dc.subjectMobile devicesen_US
dc.subjectMobile telecommunication systemsen_US
dc.subjectWebsitesen_US
dc.subjectContextual factorsen_US
dc.subjectImprove performanceen_US
dc.subjectLocal searchen_US
dc.subjectLocation informationen_US
dc.subjectLocation-based social networksen_US
dc.subjectMobile searchen_US
dc.subjectPoints of interesten_US
dc.subjectSearch servicesen_US
dc.subjectWorld wide weben_US
dc.titleIntegrating social features into mobile local searchen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineering
dc.citation.spage155en_US
dc.citation.epage164en_US
dc.citation.volumeNumber122en_US
dc.identifier.doi10.1016/j.jss.2016.09.013en_US
dc.publisherElsevier Inc.en_US


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