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        <datestamp>2024-03-06T11:05:49Z</datestamp>
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          <dc:title>Personalization of Queries based on User Preferences</dc:title>
          <dc:creator>Koutrika, Georgia</dc:creator>
          <dc:creator>Ioannidis, Yannis</dc:creator>
          <dc:subject>Query personalization</dc:subject>
          <dc:subject>user profiles</dc:subject>
          <dc:subject>preferences</dc:subject>
          <dc:description>Query Personalization is the process of dynamically enhancing a query with related user preferences stored in a user profile with the aim of providing personalized answers. The underlying idea is that different users may find different things relevant to a search due to different preferences. Essential ingredients of query personalization are: (a) a model for representing and storing preferences in user profiles, and (b) algorithms for the generation of personalized answers using stored preferences. Modeling the plethora of preference types is a challenge. In this paper, we present a preference model that combines expressivity and concision. In addition, we provide algorithms for the selection of preferences related to a query and the progressive generation of personalized results, which are ranked based on user interest.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Georgia Koutrika and Yannis Ioannidis</dc:contributor>
          <dc:date>2006</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 4271, Preferences: Specification, Inference, Applications (2006)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/DagSemProc.04271.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-4039</dc:identifier>
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          <dc:language>eng</dc:language>
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