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Memorias de investigación
Artículos en revistas:
Collaborative Filtering Based on Significances
Año:2012
Áreas de investigación
  • Ingenierías
Datos
Descripción
It seems reasonable to think that there may be some items and some users in a recommender system that could be highly significant in making recommendations. For instance, the recent and much-advertised Apple product may be regarded as more significant compared with an outdated MP3 device (which is still on sale). In this paper, we introduce a new method to improve the information used in collaborative filtering processes by weighting the ratings of the items according to their importance. We provide here a formalisation of the collaborative filtering process based on the concept of significance. In this way, the k-neighbours are calculated taking into account the ratings of the items, the significance of the items and the significance of each user for making recommendations to other users. This formalisation includes extensions of the concepts related to similarity measures and prediction/recommendation quality measures. We will show also the results obtained from a set of experiments using Movielens and Netflix. The results confirm the advantage of introducing the concept of significance in general recommender systems and especially in recommender systems in which it is easy to determine the relative importance of the items: for example, most widely sold products in e-commerce, most widely commented news items in web-news, most widely watched programs on TV, and the latest sports champions.
Internacional
Si
JCR del ISI
No
Título de la revista
Information Sciences
ISSN
0020-0255
Factor de impacto JCR
3,643
Información de impacto
Volumen
185
DOI
http://dx.doi.org/10.1016/j.ins.2011.09.014
Número de revista
1
Desde la página
1
Hasta la página
17
Mes
FEBRERO
Ranking
6
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jesus Bobadilla Sancho (UPM)
  • Autor: Antonio Hernando Esteban (UPM)
  • Autor: Fernando Ortega Requena (UPM)
  • Autor: Abraham Gutierrez Rodriguez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Sistemas Inteligentes Aplicados
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