Food pairing: a mathematical and social analysis to reveal food’s secrets
Tornesi, Guglielmo (A.A. 2020/2021) Food pairing: a mathematical and social analysis to reveal food’s secrets. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Marco Querini, pp. 48. [Bachelor's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
The fundamental theory of food pairing. Def theory. Methodology. History. Criticism. The flavour network. Database. Database schema. Project development. Business idea. Context. Situation. Reflection. Proposals. The algorithm to find shared flavour compounds. Social network analysis. Discussion of results. Like per post. Comments per post. Rate of positive comments per category.
References
Bibliografia: p. 48.
| 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: | Querini, Marco |
| Academic Year: | 2020/2021 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 27 Oct 2021 07:47 |
| Last Modified: | 27 Oct 2021 07:47 |
| URI: | https://tesi.luiss.it/id/eprint/30540 |
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