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

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.

https://www.aramis.admin.ch/Grunddaten/?ProjectID=51099