Integrating information sources for recommender systems

This paper presents a Multi-agent System and a Methodology to select and to integrate heterogenous and distributed information sources to make recommendations. A set of intrinsic characteristics has been defined. These characteristics allow having a description of the information contained in the sources to select the most relevant information sources. Ontologies are used to integrate the information from the selected sources. And a case study confirms our proposal. Keywords. Recommender Systems, Information Integration, Negotiation, Ontology

• Type: Conference
• Year: 2005
• Where: CCIA
• Authors: Silvana Aciar, Josefina López Herrera, Josep Lluís de la Rosa
• Keywords: CCIA 2005, Information Sources, Intrinsic Characteristics, Relevant Information Sources