Custom ordering on digital library information retrieval
WebMedia '09 Proceedings of the XV Brazilian Symposium on Multimedia and the Web
A framework for the evaluation of adaptive IR systems through implicit recommendation
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
An online framework for supporting the evaluation of personalised information retrieval systems
iUBICOM'11 Proceedings of the 6th international conference on Ubiquitous and Collaborative Computing
Personalised Information Retrieval: survey and classification
User Modeling and User-Adapted Interaction
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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.