Rule-Based Query Personalization in Digital Libraries
Georgia Koutrika
Yannis Ioannidis
Date published: 
Published In: 
Int'l. J. on Digital Libraries 4(1): 60-63
Conference Article

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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