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Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Dietz, Linus W.; Herzog, Daniel; Wörndl, Wolfgang
Title:
Deriving Tourist Mobility Patterns from Check-in Data
Abstract:
Recommendations in complex scenarios require additional knowledge of the domain. Planning a composite travel spanning several countries is a challenging, but encouraging domain for recommender systems, since users are in dire need for assistance: Information in typical publications, such as printed travel guides or personal blogs is often imprecise, biased or outdated. In this paper we motivate a data-mining approach to improve destination recommender systems with learned travel patterns. Spe...    »
Book / Congress title:
Proceedings of the WSDM 2018 Workshop on Learning from User Interactions
Year:
2018
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