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Document type:
Konferenzbeitrag 
Author(s):
Linus W. Dietz 
Title:
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is insufficient to make informed decisions where to travel to, because of lacking objectivity, comparability and being out-of-date.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...    »
 
Book / Congress title:
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization 
Organization:
ACM 
Publisher:
ACM 
Publisher address:
New York, NY, USA 
Year:
2018 
Year / month:
2018-07 
Pages:
Reviewed:
ja