TY - GEN
T1 - Quantifying the offline interactions between hosts and guests of airbnb
AU - Alsudais, Abdulkareem
N1 - Publisher Copyright:
© 2017 AIS/ICIS Administrative Office. All Rights Reserved.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Natural language processing
KW - Sharing economy
KW - Text mining
KW - Virtual communities
UR - http://www.scopus.com/inward/record.url?scp=85048373884&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85048373884
T3 - AMCIS 2017 - America's Conference on Information Systems: A Tradition of Innovation
BT - AMCIS 2017 - America's Conference on Information Systems
PB - Americas Conference on Information Systems
T2 - America�s Conference on Information Systems: A Tradition of Innovation, AMCIS 2017
Y2 - 10 August 2017 through 12 August 2017
ER -