Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
CF4J: Collaborative Filtering for Java
Year:2018
Research Areas
  • Information technology and adata processing
Information
Abstract
Recommender Systems (RS) provide a relevant tool to mitigate the information overload problem. A large number of researchers have published hundreds of papers to improve different RS features. It is advisable to use RS frameworks that simplify RS researchers: a) to design and implement recommendations methods and, b) to speed up the execution time of the experiments. In this paper, we present CF4J, a Java library designed to carry out Collaborative Filtering based RS research experiments. CF4J has been designed from researchers to researchers. It allows: a) RS datasets reading, b) full and easy access to data and intermediate or final results, c) to extend their main functionalities, d) to concurrently execute the implemented methods, and e) to provide a thorough evaluation for the implementations by quality measures. In summary, CF4J serves as a library specifically designed for the research trial and error process.
International
Si
JCR
Si
Title
Knowledge-Based Systems
ISBN
0950-7051
Impact factor JCR
4,529
Impact info
Datos JCR del año 2016
Volume
152
10.1016/j.knosys.2018.04.008
Journal number
From page
94
To page
99
Month
JULIO
Ranking
JCR Q1
Participants
  • Autor: Fernando Ortega Requena (UPM)
  • Autor: Bo Zhu . (UPM)
  • Autor: Jesus Bobadilla Sancho (UPM)
  • Autor: Antonio Hernando Esteban (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Sistemas Informáticos
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Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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