Memorias de investigación
Artículos en revistas:
A framework for collaborative filtering recommender systems
Año:2011

Áreas de investigación
  • Sistema informático,
  • Tratamiento de datos

Datos
Descripción
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.
Internacional
Si
JCR del ISI
Si
Título de la revista
Expert Systems With Applications
ISSN
0957-4174
Factor de impacto JCR
1,924
Información de impacto
Datos JCR del año 2010
Volumen
38
DOI
Número de revista
12
Desde la página
14609
Hasta la página
14623
Mes
SIN MES
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Participantes

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  • Creador: Departamento: Lenguajes, Proyectos y Sistemas Informáticos