Publications

Authors:

DALLA VECCHIA, Anna; Migliorini, Sara; Quintarelli, Elisa; Belussi, Alberto

Title:

A Context-Aware Recommendation System with a Crowding Forecaster

Year:

2023

Type of item:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Language:

Inglese

Format:

Elettronico

Name of journal:

CEUR WORKSHOP PROCEEDINGS

ISSN of journal:

1613-0073

N° Volume:

3478

Congresso:

31st Symposium of Advanced Database Systems (SEBD 2023)

Place:

Galzingano Terme, Italy

Period:

July 2nd to 5th, 2023

:

CEUR-WS.org

Publisher:

CEUR-WS.org

Page numbers:

632-640

Keyword:

Recommendation systems; Crowding forecasting; Deep learning

Short description of contents:

Recommendation systems (RSs) are increasing their popularity in recent years. Many big IT companies like Google, Amazon and Netflix, have a RS at the core of their business. In this paper, we propose a modular platform for enhancing a RS for the tourism domain with a crowding forecaster, which is able to produce an estimation about the current and future occupation of different Points of Interest (PoIs) by taking into consideration also contextual aspects. The main advantage of the proposed system is its modularity and the ability to be easily tailored to different application domains. Moreover, the use of standard and pluggable components allows the system to be integrated in different application scenarios.

Product ID:

135216

Handle IRIS:

11562/1104926

Last Modified:

October 27, 2023

Bibliographic citation:

DALLA VECCHIA, Anna; Migliorini, Sara; Quintarelli, Elisa; Belussi, Alberto, A Context-Aware Recommendation System with a Crowding Forecaster in «CEUR WORKSHOP PROCEEDINGS» vol. 3478 CEUR-WS.org  in Proceedings of the 31st Symposium of Advanced Database Systems , CEUR-WS.org , Proceedings of "31st Symposium of Advanced Database Systems (SEBD 2023)" , Galzingano Terme, Italy , July 2nd to 5th, 2023 , 2023 , pp. 632-640

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo