6533b872fe1ef96bd12d39a2

RESEARCH PRODUCT

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

Federico BecattiniGiuseppe BecchiAndrea FerracaniAlberto Del BimboLiliana Lo PrestiGiuseppe MazzolaMarco La CasciaFederico CunicoAndrea ToaiariMarco CristaniAntonio GrecoAlessia SaggeseMario Vento

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionicomputer vision; recommendation system; fashion recommendation; tracking; recognitionrecommendation systemrecognitiontrackingfashion recommendationcomputer vision fashion recommendation recognition recommendation system trackingcomputer vision; fashion recommendation; recognition; recommendation system; trackingcomputer vision

description

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.

yearjournalcountryeditionlanguage
2022-10-10Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation
https://doi.org/10.1145/3552468.3555365