LoCo2: Machine Learning (ML) based Low-CO2/Equivalent-Experience/Equivalent-Cost Tour Booking Recommender System (Innolink: 101.343 IP-SBM)

• Unité de recherche: INNOSUISSE
• Numéro de projet: 101.343 IP-SBM
• Titre du projet anglais: LoCo2: Machine Learning (ML) based Low-CO2/Equivalent-Experience/Equivalent-Cost Tour Booking Recommender System (Innolink: 101.343 IP-SBM)

Mots-clé (Anglais)

Social sciences & business management, Tourism

Résumé des résultats (Abstract) (Anglais)

Nezasa offers tour travel booking solutions and thus has a large database of past itineraries available. In this project, a machine learning approach is proposed that will automatically recommend a low CO2 alternative to an individually selected tour, with an equivalent experience score and cost.