A collaborative filtering similarity measure based on singularities.

Bobadilla Sancho, Jesus; Ortega Requena, Fernando y Hernando Esteban, Antonio (2012). A collaborative filtering similarity measure based on singularities.. "Information Processing & Management", v. 48 (n. 2); pp. 204-217. ISSN 0306-4573. https://doi.org/10.1016/j.ipm.2011.03.007.

Descripción

Título: A collaborative filtering similarity measure based on singularities.
Autor/es:
  • Bobadilla Sancho, Jesus
  • Ortega Requena, Fernando
  • Hernando Esteban, Antonio
Tipo de Documento: Artículo
Título de Revista/Publicación: Information Processing & Management
Fecha: Marzo 2012
Volumen: 48
Materias:
Palabras Clave Informales: Collaborative filtering, Recommender systems, Singularity, Similarity measures, Neighborhoods
Escuela: E.U. de Informática (UPM) [antigua denominación]
Departamento: Lenguajes, Proyectos y Sistemas Informáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Recommender systems play an important role in reducing the negative impact of informa- tion overload on those websites where users have the possibility of voting for their prefer- ences on items. The most normal technique for dealing with the recommendation mechanism is to use collaborative filtering, in which it is essential to discover the most similar users to whom you desire to make recommendations. The hypothesis of this paper is that the results obtained by applying traditional similarities measures can be improved by taking contextual information, drawn from the entire body of users, and using it to cal- culate the singularity which exists, for each item, in the votes cast by each pair of users that you wish to compare. As such, the greater the measure of singularity result between the votes cast by two given users, the greater the impact this will have on the similarity. The results, tested on the Movielens, Netflix and FilmAffinity databases, corroborate the excellent behaviour of the singularity measure proposed.

Más información

ID de Registro: 15282
Identificador DC: http://oa.upm.es/15282/
Identificador OAI: oai:oa.upm.es:15282
Identificador DOI: 10.1016/j.ipm.2011.03.007
Depositado por: Memoria Investigacion
Depositado el: 24 Sep 2013 15:43
Ultima Modificación: 21 Abr 2016 15:20
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