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Proceedings. 20th International Conference on Data Engineering (2004)
Boston, Massachusetts
Mar. 30, 2004 to Apr. 2, 2004
ISSN: 1063-6382
ISBN: 0-7695-2065-0
pp: 597
Georgia Koutrika , University of Athens, Hellas
Yannis Ioannidis , University of Athens, Hellas
As information becomes available in increasing amounts to a wide spectrum of users, the need for a shift towards a more user-centered information access paradigm arises. We develop a personalization framework for database systems based on user profiles and identify the basic architectural modules required to support it. We define a preference model that assigns to each atomic query condition a personal degree of interest and provide a mechanism to compute the degree of interest in any complex query condition based on the degrees of interest in the constituent atomic ones. Preferences are stored in profiles. At query time, personalization proceeds in two steps: (a) preference selection and (b) preference integration into the original user query. We formulate the main personalization step, i.e. preference selection, as a graph computation problem and provide an efficient algorithm for it. We also discuss results of experimentation with a prototype query personalization system.

Y. Ioannidis and G. Koutrika, "Personalization of Queries in Database Systems," Proceedings. 20th International Conference on Data Engineering(ICDE), Boston, Massachusetts, 2004, pp. 597.
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