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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Linus W. Dietz 
Titel:
Data-Driven Destination Recommender Systems 
Abstract:
Given endless possibilities to travel around the world, it has become challenging to choose where to travel to. We argue that traditional media is insufficient to make informed decisions where to travel to, because of lacking objectivity, comparability and being out-of-date. Thus, travel planning is an interesting field to establish data-driven recommender systems that support users to master information explosion. We present working packages for a doctorate project that brings together the fiel...    »
 
Kongress- / Buchtitel:
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization 
Ausrichter der Konferenz:
ACM 
Konferenzort:
Singapore 
Verlag / Institution:
ACM 
Verlagsort:
New York, NY, USA 
Jahr:
2018 
Jahr / Monat:
2018-07 
Seiten:
Reviewed:
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