Food Recommendation in a Worksite Canteen

Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni

Abstract

Recommendation systems tackle with information overload to assist people in finding their best choice according to their preferences and past behaviour. This occurred in many contexts, including the food sector where culinary inspiration, sales increase or healthy advice motivate the adoption of such a system. In this paper we propose a canteen food recommendation system for workers operating at an innovation hub including more than 20 companies. The system leverages a 30 months data set of past choices, and adopts a content based and a collaborative filtering approach for canteen users, suggesting them with dishes chosen by other similar users. First results for frequent as well as occasional canteen visitors are encouraging to validate the proposed approach.

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Paper Citation


in Harvard Style

Carchiolo V., Grassia M., Longheu A., Malgeri M. and Mangioni G. (2021). Food Recommendation in a Worksite Canteen. In Proceedings of the 6th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS, ISBN 978-989-758-505-0, pages 117-124. DOI: 10.5220/0010502401170124


in Bibtex Style

@conference{complexis21,
author={Vincenza Carchiolo and Marco Grassia and Alessandro Longheu and Michele Malgeri and Giuseppe Mangioni},
title={Food Recommendation in a Worksite Canteen},
booktitle={Proceedings of the 6th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,},
year={2021},
pages={117-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010502401170124},
isbn={978-989-758-505-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,
TI - Food Recommendation in a Worksite Canteen
SN - 978-989-758-505-0
AU - Carchiolo V.
AU - Grassia M.
AU - Longheu A.
AU - Malgeri M.
AU - Mangioni G.
PY - 2021
SP - 117
EP - 124
DO - 10.5220/0010502401170124