TY - GEN
T1 - Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences
AU - Arefieva, V.
AU - Egger, R.
AU - Schrefl, Michael
AU - Schedl, Markus
PY - 2023/2/27
Y1 - 2023/2/27
N2 - 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.
AB - 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.
UR - http://www.dke.jku.at/research/publications/index.xq
UR - https://www.scopus.com/pages/publications/85149619669
U2 - 10.1145/3539597.3573043
DO - 10.1145/3539597.3573043
M3 - Conference proceedings
T3 - WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining
SP - 1164
EP - 1167
BT - Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023)
PB - ACM Press
ER -