DocumentCode
1942243
Title
Enhancing Service Site Selection via Joint Learning
Author
Wu, Junjie ; Wang, Heng ; Zhang, Le ; Chen, Jian
Author_Institution
Sch. of Econ. & Manage., Beihang Univ., Beijing
fYear
2008
fDate
28-29 Sept. 2008
Firstpage
1
Lastpage
5
Abstract
Given its importance, the problem of selecting the appropriate site for a service business has attracted great attentions in the literature. However, to quantify the relationships between the target site and its nearby businesses is still a challenging task. To this end, in this paper, we propose a novel joint learning scheme for service site selections. A case study for bank branch selections is also provided to demonstrate the usefulness of our scheme.
Keywords
facility location; learning (artificial intelligence); service industries; bank branch selections; joint learning scheme; service business; service site selection; Books; Business; Economic forecasting; Electronic mail; Fuses; Geographic Information Systems; Operations research; Performance analysis; Stochastic processes; Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Management of Information for Globalized Enterprises, 2008. AMIGE 2008. IEEE Symposium on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-3694-1
Electronic_ISBN
978-1-4244-2972-1
Type
conf
DOI
10.1109/AMIGE.2008.ECP.44
Filename
4721486
Link To Document