Rule-based query personalization in digital libraries

  • Authors:
  • Georgia Koutrika;Yannis Ioannidis

  • Affiliations:
  • University of Athens, Department of Informatics and Telecommunications, Panepistimiopolis, Ilissia, 15784, Athens, Greece;University of Athens, Department of Informatics and Telecommunications, Panepistimiopolis, Ilissia, 15784, Athens, Greece

  • Venue:
  • International Journal on Digital Libraries
  • Year:
  • 2004

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Abstract

Searching a digital library is typically a tedious task. A system can improve information access by building on knowledge about a user acquired in a user profile in order to customize information access both in terms of the information returned in response to a query (query personalization) as well as in terms of the presentation of the results (presentation personalization). In this paper, we focus on query personalization in digital libraries; in particular, we address structured queries involving metadata stored in relational databases. We describe the specification of user preferences at the level of a user profile and the process of query personalization with the use of query-rewriting rules.