Data Analysis and Visualization for the AirBNB User Pathways
This study examines how AirBNB utilizes user pathway information to enhance customer satisfaction. AirBNB, a quickly growing online platform for housing, prioritizes user satisfaction by constantly enhancing its interface and features. This method heavily depends on analyzing data. By analyzing user paths, AirBNB gains insights into user behavior and preferences. This information is used to improve search recommendations, make booking smoother, and identify areas needing enhancement. In conclusion, AirBNB aims to provide a smooth and satisfying customer experience through their data-driven strategy.
Authors
- Mamta Sharma (ORCID: https://orcid.org/0000-0003-4287-0496)
- Sneha Jain
- Palash Sharma (ORCID: https://orcid.org/0000-0003-3016-7541)
- Shivangi Sharma
Institutions
- Atal Bihari Vajpayee Indian Institute of Information Technology and Management (IN)
Publication Details
- Journal
- Management Insight - The Journal of Incisive Analysers
- Published
- 2024-12-18
- DOI
- https://doi.org/10.21844/mijia.20.1.5
- Primary Topic
- Simulation Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00