Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Reliability quality measures for recommender systems
Year:2018
Research Areas
  • Information technology and adata processing
Information
Abstract
Users want to know the reliability of the recommendations; they do not accept high predictions if there is no reliability evidence. Recommender systems should provide reliability values associated with the predictions. Research into reliability measures requires the existence of simple, plausible and universal reliability quality measures. Research into recommender system quality measures has focused on accuracy. Moreover, novelty, serendipity and diversity have been studied; nevertheless there is an important lack of research into reliability/confidence quality measures. This paper proposes a reliability quality prediction measure (RPI) and a reliability quality recommendation measure (RRI). Both quality measures are based on the hypothesis that the more suitable a reliability measure is, the better accuracy results it will provide when applied. These reliability quality measures show accuracy improvements when appropriated reliability values are associated with their predictions (i.e. high reliability values associated with correct predictions or low reliability values associated with incorrect predictions). The proposed reliability quality metrics will lead to the design of brand new recommender system reliability measures. These measures could be applied to different matrix factorization techniques and to content-based, context-aware and social recommendation approaches. The recommender system reliability measures designed could be tested, compared and improved using the proposed reliability quality metrics.
International
Si
JCR
Si
Title
Information Sciences
ISBN
0020-0255
Impact factor JCR
4,832
Impact info
Datos JCR del año 2016
Volume
442-443
10.1016/j.ins.2018.02.030
Journal number
From page
145
To page
157
Month
MAYO
Ranking
JCR Q1
Participants
  • Autor: Jesus Bobadilla Sancho (UPM)
  • Autor: Abraham Gutierrez Rodriguez (UPM)
  • Autor: Fernando Ortega Requena (UPM)
  • Autor: Bo Zhu . (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Sistemas Informáticos
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)