Integrating information sources for recommender systems

Authors:
Silvana Aciar;Josefina López Herrera;Josep Lluis de la Rosa
Affiliations:
Agents Research Laboratory, University of Girona, {saciar, peplluis}@eia.udg.es, lopez.herrera@udg.es;Agents Research Laboratory, University of Girona, {saciar, peplluis}@eia.udg.es, lopez.herrera@udg.es;Agents Research Laboratory, University of Girona, {saciar, peplluis}@eia.udg.es, lopez.herrera@udg.es
Venue:
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Year:
2005

Citing 8
Cited 1

Automatic text processing: the transformation, analysis, and retrieval of information by computer

Automatic text processing: the transformation, analysis, and retrieval of information by computer
Social information filtering: algorithms for automating “word of mouth”

CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation

Communications of the ACM
Recommender systems in e-commerce

Proceedings of the 1st ACM conference on Electronic commerce
A personalized television listings service

Communications of the ACM
OBSERVER: An Approach for Query Processing in Global Information Systems Based on Interoperation Across Pre-Existing Ontologies

Distributed and Parallel Databases
Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval
Recommender systems: a market-based design

AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems

Recommendations Using Information from Selected Sources with the ISIRES Methodology

Proceedings of the 2006 conference on Artificial Intelligence Research and Development

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.