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Quality-Based Recommendation of XML Documents

Laure Berti-Equille 1
1 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Information quality is multidimensional and can be modeled as an ordered set of weighted criteria. For a collection of XML documents, our approach consists firstly in harvesting and generating information quality indicators and enriching the meta-description of XML documents. Quality metadata are then exploited within the query processing for metadata-driven information retrieval and filtering in order to propose quality-adaptive recommendation strategies (with a quality view as a result) of the queried XML documents. This quality view depends on the user's profile and on his specific information quality requirements. The paper describes the architecture of a quality-based re-commender system for XML documents.
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Submitted on : Friday, August 10, 2018 - 4:58:02 PM
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  • HAL Id : hal-01856348, version 1


Laure Berti-Equille. Quality-Based Recommendation of XML Documents. Journal of Digital Information Management, Digital Information Research Foundation, 2003, 1 (3), pp.117-128. ⟨hal-01856348⟩



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