A framework for collaborative filtering recommender systems

Ortega Requena, Fernando and Bobadilla Sancho, Jesus and Hernando Esteban, Antonio and Bernal, Jesús (2011). A framework for collaborative filtering recommender systems. "Expert Systems With Applications", v. 38 ; pp. 14609-14623. ISSN 0957-4174. https://doi.org/10.1016/j.eswa.2011.05.021.


Title: A framework for collaborative filtering recommender systems
  • Ortega Requena, Fernando
  • Bobadilla Sancho, Jesus
  • Hernando Esteban, Antonio
  • Bernal, Jesús
Item Type: Article
Título de Revista/Publicación: Expert Systems With Applications
Date: 2011
ISSN: 0957-4174
Volume: 38
Freetext Keywords: Recommender systems, Framework, Similarity measures, Trust, Novelty, Quality,Collaborative filte.
Faculty: E.U. de Informática (UPM)
Department: Lenguajes, Proyectos y Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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As the use of recommender systems becomes more consolidated on the Net, an increasing need arises to develop some kind of evaluation framework for collaborative filtering measures and methods which is capable of not only testing the prediction and recommendation results, but also of other purposes which until now were considered secondary, such as novelty in the recommendations and the users? trust in these. This paper provides: (a) measures to evaluate the novelty of the users? recommendations and trust in their neighborhoods, (b) equations that formalize and unify the collaborative filtering process and its evaluation, (c) a framework based on the above-mentioned elements that enables the evaluation of the quality results of any collaborative filtering applied to the desired recommender systems, using four graphs: quality of the predictions, the recommendations, the novelty and the trust.

More information

Item ID: 15281
DC Identifier: https://oa.upm.es/15281/
OAI Identifier: oai:oa.upm.es:15281
DOI: 10.1016/j.eswa.2011.05.021
Official URL: http://www.elsevier.com/locate/eswa
Deposited by: Memoria Investigacion
Deposited on: 19 Sep 2013 15:57
Last Modified: 10 Nov 2017 09:13
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