Descripción
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In this paper we introduce the idea of using a reliability measure associated to the predic- tions made by recommender systems based on collaborative filtering. This reliability mea- sure is based on the usual notion that the more reliable a prediction, the less liable to be wrong. Here we will define a general reliability measure suitable for any arbitrary recom- mender system. We will also show a method for obtaining specific reliability measures specially fitting the needs of different specific recommender systems. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Information Sciences |
ISSN
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0020-0255 |
Factor de impacto JCR
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Información de impacto
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Volumen
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218 |
DOI
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Número de revista
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Desde la página
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1 |
Hasta la página
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16 |
Mes
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SIN MES |
Ranking
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