Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences

V. Arefieva; R. Egger; Michael Schrefl; Markus Schedl

doi:10.1145/3539597.3573043

Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences

V. Arefieva, R. Egger, Michael Schrefl, Markus Schedl

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023)
Publisher	ACM Press
Pages	1164-1167
Number of pages	4
DOIs	https://doi.org/10.1145/3539597.3573043
Publication status	Published - Feb 2023

Fields of science

202002 Audiovisual media
102 Computer Sciences
102001 Artificial intelligence
102003 Image processing
102015 Information systems

JKU Focus areas

Digital Transformation

Access to Document

10.1145/3539597.3573043

Cite this

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title = "Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences",

abstract = "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{\textquoteright} 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.",

author = "V. Arefieva and R. Egger and Michael Schrefl and Markus Schedl",

year = "2023",

month = feb,

doi = "10.1145/3539597.3573043",

language = "English",

pages = "1164--1167",

booktitle = "Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023)",

publisher = "ACM Press",

}

Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences. / Arefieva, V.; Egger, R.; Schrefl, Michael et al.
Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023). ACM Press, 2023. p. 1164-1167.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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AU - Egger, R.

AU - Schrefl, Michael

AU - Schedl, Markus

PY - 2023/2

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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

U2 - 10.1145/3539597.3573043

DO - 10.1145/3539597.3573043

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BT - Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023)

PB - ACM Press

ER -

Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences

Abstract

Fields of science

JKU Focus areas

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