Personalization of Queries in Database Systems
Authors: 
Georgia Koutrika
Authors: 
Yannis Ioannidis
Date published: 
2004
Published In: 
20th Int'l Conf. on Data Engineering (ICDE), Boston, MA, March 2004, pp. 597-608
Τύπος: 
Conference Article
Abstract: 

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.

Σχετιζόμενα αρχεία: 

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