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Dokumenttyp:
Konferenzbeitrag 
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz 
Autor(en):
Dietz, Linus W.; Herzog, Daniel; Wörndl, Wolfgang 
Titel:
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Information in typical publications, such as printed travel guides or personal blogs is often imprecise, biased or outdated.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. S...    »
 
Kongress- / Buchtitel:
Proceedings of the WSDM 2018 Workshop on Learning from User Interactions 
Jahr:
2018