Authors:
Konstantina Arnaoutaki
;
Babis Magoutas
;
Efthimios Bothos
and
Gregoris Mentzas
Affiliation:
ICCS, National Technical University of Athens, Athens and Greece
Keyword(s):
Recommender Systems, Mobility-as-a-Service, Knowledge-based, CSP.
Related
Ontology
Subjects/Areas/Topics:
B2C/B2B Considerations
;
Business and Social Applications
;
e-Business
;
Energy and Economy
;
Enterprise Information Systems
;
Smart Cities
;
Software Agents and Internet Computing
Abstract:
Mobility as a Service (MaaS) is the integration of various forms of transport services into a single “mobility plan”, that can be considered as a bundled set of distinct services/products, bought and used as a single product. The concept of MaaS is gaining an increasingly high interest however, there are still many challenges that have to be dealt with when designing and offering viable MaaS products, including the suggestion of the optimal MaaS plan that matches a user’s personal needs. In this paper, we propose a knowledge based recommender system that builds upon constraint programming mechanisms and provides the necessary functions to capture user preferences, exclude MaaS plans which do not match those preferences and infer the similarity of the remaining plans to the user’s profile. The final outcome is a filtered and ranked list of MaaS plans which allows the user to select the one that better matches her/his preferences.