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Rule-based query personalization in digital libraries

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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.

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References

  1. Agrawal R, Wimmers EL (2000) A framework for expressing and combining preferences. In: Proceedings of the ACM SIGMOD international conference on management of data, Dallas, 16–18 May 2000, pp 297–306

  2. Chomicki J (2002) Querying with intrinsic preferences. In: Proceedings of the 8th international conference on extending database technology, Prague, Czech Republic, 25–27 March 2002, pp 34–51

  3. Delgrande JP, Schaub T, Tompits H (2000) Logic programs with compiled preferences. In: Proceedings of the European conference on artificial intelligence, Berlin, 20–25 August 2000, pp 464–468

  4. Digital Libraries (1995) Commun ACM 38(4)

  5. Govindarajan K, Jayaraman B, Mantha S (2001) Preference queries in deductive databases. New Generation Comput 19(1):57–86

    Article  MATH  Google Scholar 

  6. Hristidis V, Koudas N, Papakonstantinou Y (2001) PREFER: a system for the efficient execution of multiparametric ranked queries. In: Proceedings of the ACM SIGMOD international conference on management of data, Santa Barbara, CA, 21–24 May 2001, pp 259–270

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Authors and Affiliations

  1. Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilissia, Athens, 15784, Greece

    Georgia Koutrika & Yannis Ioannidis

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  1. Georgia Koutrika
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  2. Yannis Ioannidis
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Correspondence to Georgia Koutrika.

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Koutrika, G., Ioannidis, Y. Rule-based query personalization in digital libraries. Int J Digit Libr 4, 60–63 (2004). https://doi.org/10.1007/s00799-003-0068-2

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  • DOI: https://doi.org/10.1007/s00799-003-0068-2

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