Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Collaborative Filtering adapted to Recommender Systems of E-Learning
Año:2009
Áreas de investigación
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
Recommender systems are typically provided as Web 2.0 services and are part of the range of applica- tions that give support to large-scale social networks, enabling on-line recommendations to be made based on the use of networked databases. The operating core of recommender systems is based on the collaborative filtering stage, which, in current user to user recommender processes, usually uses the Pear- son correlation metric. In this paper, we present a new metric which combines the numerical information of the votes with independent information from those values, based on the proportions of the common and uncommon votes between each pair of users. Likewise, we define the reasoning and experiments on which the design of the metric is based and the restriction of being applied to recommender systems where the possible range of votes is not greater than 5. In order to demonstrate the superior nature of the proposed metric, we provide the comparative results of a set of experiments based on the MovieLens, FilmAffinity and NetFlix databases. In addition to the traditional levels of accuracy, results are also pro- vided on the metrics¿ coverage, the percentage of hits obtained and the precision/recall.
Internacional
Si
JCR del ISI
Si
Título de la revista
KNOWLEDGE-BASED SYSTEMS
ISSN
0950-7051
Factor de impacto JCR
0,924
Información de impacto
Volumen
22
DOI
Número de revista
4
Desde la página
261
Hasta la página
265
Mes
ENERO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Antonio Hernando Esteban (UPM)
  • Autor: Jesus Bobadilla Sancho (UPM)
  • Autor: Francisco Serradilla Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Agentes Inteligentes y Computación Ubicua
  • Departamento: Sistemas Inteligentes Aplicados
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