I-MALL An Effective Framework for Personalized Visits. Improving the Customer Experience in Stores

4Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

In this paper we present I-MALL, an ICT hardware and software infrastructure that enables the management of services related to places such as shopping malls, showrooms, and conferences held in dedicated facilities. I-MALL offers a network of services that perform customer behavior analysis through computer vision and provide personalized recommendations made available on digital signage terminals. The user can also interact with a social robot. Recommendations are inferred on the basis of the profile of interests computed by the system analysing the history of the customer visit and his/her behavior including information from his/her appearance, the route taken inside the facility, as well as his/her mood and gaze.

Cite

CITATION STYLE

APA

Becattini, F., Becchi, G., Ferracani, A., Bimbo, A. D., Lo Presti, L., Mazzola, G., … Vento, M. (2022). I-MALL An Effective Framework for Personalized Visits. Improving the Customer Experience in Stores. In MCFR 2022 - Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation (pp. 11–19). Association for Computing Machinery, Inc. https://doi.org/10.1145/3552468.3555365

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free