Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
An efficient recommender system method based on the numerical relevances and the non-numerical structures of the ratings
Year:2018
Research Areas
  • Artificial intelligence (neuronal nets, expert systems, etc),
  • Information technology and adata processing
Information
Abstract
In this paper we propose a collaborative filtering method designed to improve the current memory-based prediction times, without worsening and even improving the existing accuracy results. The accuracy improvement is achieved by combining the numerical relevance of the ratings with non-numerical information, based on the votes structure. The improvement of the prediction time is achieved by setting four actions: 1) Simplification of the similarity measure design, in order to minimize the necessary calculations, 2) Construction and maintenance of a model that simplifies the predictions processing, 3) Optimization of the computation, using a set-based model and a bit-based processing implementation, and 4) Switching between the bit processing and the numerical processing, depending on the density of the users? ratings. Experimental results show improvements both in the prediction time and the accuracy. Experiments have used a significant amount of state of the art baselines and collaborative filtering public datasets.
International
Si
JCR
Si
Title
Ieee Access
ISBN
2169-3536
Impact factor JCR
3,244
Impact info
Datos JCR del año 2016
Volume
10.1109/ACCESS.2018.2868464
Journal number
From page
1
To page
1
Month
SEPTIEMBRE
Ranking
Participants
  • Autor: Bo Zhu . (UPM)
  • Autor: Remigio Ismael Hurtado Ortiz (UPM)
  • Autor: Jesus Bobadilla Sancho (UPM)
  • Autor: Fernando Ortega Requena (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)
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