Quantifying the offline interactions between hosts and guests of airbnb

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

In this paper, the offline interactions between hosts and guests of Airbnb are investigated. While the platform-supported communications between hosts and guests are easily tracked, new solutions are required to quantify the offline interactions. These interactions were investigated through the development of an IT artifact that determines if a review written by a guest includes a mention of a host. Manual labeling of 1,024 randomly selected reviews indicated that 85% of reviews include a reference to a host. Two primary patterns in which hosts are mentioned were discovered. A new method to detect if a host is referenced in a review is proposed. The method is based on automatically detecting these patterns using Word Embeddings and Named Entity Recognition. The method achieved an accuracy score of 91.5% and was applied on thousands of reviews from Airbnb. Results demonstrated that over 80% of reviews include references to hosts.

Original languageEnglish
Title of host publicationAMCIS 2017 - America's Conference on Information Systems
Subtitle of host publicationA Tradition of Innovation
PublisherAmericas Conference on Information Systems
ISBN (Electronic)9780996683142
StatePublished - 2017
Externally publishedYes
EventAmerica�s Conference on Information Systems: A Tradition of Innovation, AMCIS 2017 - Boston, United States
Duration: 10 Aug 201712 Aug 2017

Publication series

NameAMCIS 2017 - America's Conference on Information Systems: A Tradition of Innovation
Volume2017-August

Conference

ConferenceAmerica�s Conference on Information Systems: A Tradition of Innovation, AMCIS 2017
Country/TerritoryUnited States
CityBoston
Period10/08/1712/08/17

Keywords

  • Natural language processing
  • Sharing economy
  • Text mining
  • Virtual communities

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