Quantifying the Offline Interactions between Hosts and Guests of Airbnb
2017
- 405Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage405
- Abstract Views319
- Downloads86
Artifact Description
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.
Bibliographic Details
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