RT Journal Article
T1 SINVLIO: using semantics and fuzzy logic to provide individual investment portfolio recommendations
A1 García Crespo, Ángel
A1 López-Cuadrado, José Luis
A1 González-Carrasco, Israel
A1 Colomo Palacios, Ricardo
A1 Ruiz Mezcua, María Belén
AB Portfolio selection addresses the problem of how to diversify investments in the most efficient and profitable way possible. Portfolio selection is a field of study that has been broached from several perspectives, including, among others, recommender systems. This paper presents SINVLIO (Semantic INVestment portfoLIO), a tool based on semantic technologies and fuzzy logic techniques that recommends investments grounded in both psychological aspects of the investor and traditional financial parameters of the investments. The results are very encouraging and reveal that SINVLIO makes good recommendations, according to the high degree of agreement between SINVLIO and expert recommendations
PB Elsevier
SN 0950-7051
YR 2012
FD 2012-03
LK https://hdl.handle.net/10016/14382
UL https://hdl.handle.net/10016/14382
LA eng
NO This work is supported by the Spanish Ministry of Industry, Tourism, and Commerce under the projects SONAR2 (TSI-020100-2008-665) and the Spanish Ministry of Science and Innovation under the project “FINANCIAL LINKED OPEN DATA REASONING AND MANAGEMENT FOR WEB SCIENCE” (TIN2011-27405).
DS e-Archivo
RD 30 abr. 2024