RT info:eu-repo/semantics/article
T1 Knowledge Transfer in Commercial Feature Extraction for the Retail Store Location Problem
A1 Ahedo García, Virginia
A1 Santos Martín, José Ignacio
A1 Galán Ordax, José Manuel
K1 Complex networks
K1 Feature extraction
K1 Recommendation systems
K1 Retail location problem
K1 Prediction
K1 Knowledge transfer
K1 Comercio
K1 Commerce
AB Location is the most important strategic decision in retailing. The location problem is markedlycomplex and multicriteria. One of the key factors to consider is the so-called balanced tenancy —i.e.,the degree to which neighboring businesses complement each other. There are several network-basedmethodologies that formalize the notion of balanced tenancy by capturing the spatial interactions betweendifferent commercial sectors in cities. Some of these methodologies provide indices that have been successfully used as input features in location recommendation systems. However, from a predictive perspective,it is still unknown which of the indices provides best results. In this work, we analyze the performance of sixof these indices on a set of nine Spanish cities. Our results show that the combined use of all of them in anensemble model such as random forest significantly improves predictive accuracy. In addition, we explorethe effect of knowledge transfer between cities from two different perspectives: 1) quantify how much thequality of solutions degrades when the balanced tenancy of a city is explored through the indices obtainedfrom another city; 2) investigate the interest of network consensus approaches for knowledge transfer inretailing.
PB Institute of Electrical and Electronics Engineers (IEEE)
SN 2169-3536
YR 2021
FD 2021-09
LK http://hdl.handle.net/10259/6333
UL http://hdl.handle.net/10259/6333
LA eng
NO Spanish Ministry of Science, Innovation and Universities through Excellence Network under Grant RED2018-102518-T, in part by the Spanish State Research Agency under Grant PID2020-118906GB-I00/AEI/10.13039/501100011033, and in part by the Junta de Castilla y León Consejería de Educación under Grant BDNS 425389.
DS Repositorio Institucional de la Universidad de Burgos
RD 19-abr-2024