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.
Becattini, F., Becchi, G., Ferracani, A., Del Bimbo, A., Lo Presti, L., Mazzola, G., et al. (2022). I-MALL An Effective Framework for Personalized Visits. Improving the Customer Experience in Stores. In MCFR '22: Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation (pp.11-19). ACM [10.1145/3552468.3555365].
I-MALL An Effective Framework for Personalized Visits. Improving the Customer Experience in Stores
Federico Becattini;
2022-01-01
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.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/1224660