Exploring the determinants of Airbnb customer satisfaction in Rome, Italy: a machine learning approach
Kalra, Anika (A.A. 2021/2022) Exploring the determinants of Airbnb customer satisfaction in Rome, Italy: a machine learning approach. Tesi di Laurea in Business and management, Luiss Guido Carli, relatore Luigi Laura, pp. 52. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Overview of machine learning. What is machine learning? Supervised learning. Unsupervised learning. Sentiment analysis. Introduction to Airbnb, inside Airbnb. Background: Airbnb & inside Airbnb. Inside Airbnb datasets: implications for academic research. Literature review: understanding Airbnb via machine learning. Airbnb accommodation pricing. Airbnb accommodation performance. Drivers of Airbnb customer satisfaction. Definition of research question & methodology. Definition of research question. Methodology. Results. Choosing the best performing model. Analysis of SHAP values.
References
Bibliografia: pp. 35-44.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Marketing (LM-77) |
| Chair: | Business and management |
| Thesis Supervisor: | Laura, Luigi |
| Thesis Co-Supervisor: | Italiano, Giuseppe Francesco |
| Academic Year: | 2021/2022 |
| Session: | Autumn |
| Additional Information: | Tesi discussa all'estero. |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 23 Mar 2023 14:02 |
| Last Modified: | 23 Mar 2023 14:02 |
| URI: | https://tesi.luiss.it/id/eprint/35426 |
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