103 citations · 103 across the 1 of their papers we have counts for
2 papers
cs.AI2016★ 103 cited
Personalized and situation-aware multimodal route recommendations: the FAVOUR algorithm
Paolo Campigotto, Christian Rudloff, Maximilian Leodolter +1
Route choice in multimodal networks shows a considerable variation between different individuals as well as the current situational context. Personalization of recommendation algor…
cs.AI2015
Learning Modulo Theories for preference elicitation in hybrid domains
Paolo Campigotto, Roberto Battiti, Andrea Passerini
This paper introduces CLEO, a novel preference elicitation algorithm capable of recommending complex objects in hybrid domains, characterized by both discrete and continuous attrib…