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

Research unit

INNOSUISSE

Project number

101.343 IP-SBM

Project title

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

Texts for this project

	German	French	Italian	English
Key words	-	-	-
Abstract	-	-	-

Category	Text
Key words (English)	Social sciences & business management, Tourism
Abstract (English)	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.