Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Recommendation to Groups of Users Using the Singularities Concept
Año:2018
Áreas de investigación
  • Inteligencia artificial (redes neuronales, lógica borrosa, sistemas expertos, etc),
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Recommendation to a group of users is a big challenge for collaborative filtering. The recommendations to groups of users arise from the convenience of being able to recommend a group of users about products or services that satisfy the entire group. In this paper, we propose the similarity measure SMGU, tailored for collaborative filtering recommendations to groups of users. This similarity measure combines both numerical and non-numerical information. Numerical information is weighted attending to the rating singularity of the group members. This paper focuses on the assumption that the singularity of the ratings cast by the users of the group is relevant information for finding suitable neighbors. For each item, we consider that a rating is singular for a group or for a user when that rating is different from the majority of the rating cast by the other users. Non-numerical structural information can be considered as valuable to match group preferences with neighbors preferences. Experiments have been run using open recommender systems data sets. Compared with representative baselines, results show accuracy improvements when the proposed method is used. Additionally, this paper provides a section devoted to the experiments reproducibility issue. Finally, this paper opens opportunities to face new challenges in the recommendation to a group of users: explanation of recommendations, determination of reliability measures, and improvement of accuracy, novelty, and diversity results.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee Access
ISSN
2169-3536
Factor de impacto JCR
3,244
Información de impacto
Datos JCR del año 2016
Volumen
6
DOI
10.1109/ACCESS.2018.2853107
Número de revista
Desde la página
39745
Hasta la página
39761
Mes
JULIO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Fernando Ortega Requena (UPM)
  • Autor: Remigio Ismael Hurtado Ortiz (UPM)
  • Autor: Jesus Bobadilla Sancho (UPM)
  • Autor: Rodolfo Xavier Bojorque Chasi (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Sistemas Informáticos
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