Autor: |
Laila Benhlima, Faouzia Wadjinny, Imane Zaoui, Dalila Chiadmi |
Rok vydání: |
2011 |
Předmět: |
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Zdroj: |
Communications in Computer and Information Science ISBN: 9783642273360 |
DOI: |
10.1007/978-3-642-27337-7_13 |
Popis: |
Nowadays, there is a real trend to personalize mediation systems to improve user satisfaction. The mediator answers should be adapted to the user needs and preferences. In this paper, we propose a solution for this problem. Our solution is based on models for users and data sources. These models are used to perform a content matching and a quality matching between user profile and data sources profiles. The objective of matching is to rank sources according to user preferences and needs, and to select the most relevant ones. Our solution for personalizing data source selection provides the mediator with a set of relevant data sources. These are then involved in the rewriting process to give more satisfying response. By reducing the number of integrated data sources, the mediator performances are also optimized. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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