Machine learning and price discrimination: unveiling the algorithmic strategies in modern business
Di Mario, Eleonora (A.A. 2023/2024) Machine learning and price discrimination: unveiling the algorithmic strategies in modern business. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 67. [Bachelor's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Price discrimination. Defining price discrimination. European regulatory framework. Economic, social and ethical implications. Preliminaries: machine learning algorithms for price discrimination. Defining artificial intelligence. Machine learning and deep learning. Role of machine learning in price discrimination. Machine learning algorithms used in pd and dynamic pricing. Real life examples of algorithmic use. Preliminaries: case study: measuring price discrimination and steering on e-commerce web sites. Case study overview. Methodology.
References
Bibliografia: pp. 64-67.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Artificial intelligence and machine learning |
| Thesis Supervisor: | Italiano, Giuseppe Francesco |
| Academic Year: | 2023/2024 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 08 Apr 2025 08:26 |
| Last Modified: | 08 Apr 2025 08:26 |
| URI: | https://tesi.luiss.it/id/eprint/41661 |
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