V. Arefieva, R. Egger, Michael Schrefl, Markus Schedl,
"Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences"
: Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023), ACM Press, Seite(n) 1164-1167, 2-2023
Original Titel:
Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023)
Original Kurzfassung:
We present Travel Bird, a novelpersonalized destination recommendation and explorationinterface which allows its users to find their next touristdestination by describing their specific preferences in anarrative form. Unlike other solutions, Travel Bird is based onTourBERT, a novel NLP model we developed, specifically tailoredto the tourism domain. Travel Bird creates a two-dimensionalpersonalized destination exploration space from TourBERTembeddings of social media content and the users? textualdescription of the experience they are looking for. In thisdemo, we will showcase several use cases for Travel Bird, whichare beneficial for consumers and destination managementorganizations.