Skyline query processing in environments incorporating preferences of multiple users다중 사용자들의 선호도를 고려한 통합 스카이라인 질의 처리

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dc.contributor.advisorChung, Chin-Wan-
dc.contributor.advisor정진완-
dc.contributor.authorCho, Jun-Young-
dc.contributor.author조준영-
dc.date.accessioned2013-09-12T01:48:32Z-
dc.date.available2013-09-12T01:48:32Z-
dc.date.issued2013-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=515142&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/180427-
dc.description학위논문(석사) - 한국과학기술원 : 전산학과, 2013.2, [ v, 30 p. ]-
dc.description.abstractRecently, facilitated by the improvement of the mobile environment and the growing number of mobile users, the location-based service(LBS) has become more attractive and widely used. In LBS, the skyline query has been often used to select interesting objects which have spatial attributes. In this thesis, the problem, named the Skyline Query for Multiple User Preferences(SQMUP), is addressed. Given a group of participants, i.e. the users specified in a query, SQMUP finds skyline objects incorporating user-dependent attributes (user preferences and the distance to the user location) for all participants and user-independent attributes (objective characteristics) in order to recommend suitable objects for all participating users. In order to solve SQMUP, an efficient and progressive approach is introduced, that reduces query time and maintains a reasonable index size based on a graph summarizing the dominance relations and the R-trees. In addition, the results of extensive experiments show that the proposed method outperforms a comparison method.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectSkyline Queries-
dc.subject스카이라인 질의-
dc.subject위치기반 서비스-
dc.subjectLocation-based Service-
dc.titleSkyline query processing in environments incorporating preferences of multiple users-
dc.title.alternative다중 사용자들의 선호도를 고려한 통합 스카이라인 질의 처리-
dc.typeThesis(Master)-
dc.identifier.CNRN515142/325007 -
dc.description.department한국과학기술원 : 전산학과, -
dc.identifier.uid020113612-
dc.contributor.localauthorChung, Chin-Wan-
dc.contributor.localauthor정진완-
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