Reti neurali e collaborative filtering: un approccio avanzato al marketing one-to-one
De Rosa, Pasquale (A.A. 2017/2018) Reti neurali e collaborative filtering: un approccio avanzato al marketing one-to-one. Tesi di Laurea in Machine learning & object driven marketing, LUISS Guido Carli, relatore Luigi Laura, pp. 121. [Master's Degree Thesis]
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Abstract/Index
Sistemi di raccomandazione e marketing one-to-one. Tipologie di sistemi di raccomandazione. Le reti neurali artificiali: tipologie e generalità. Dalla rete neurale biologica alla rete neurale artificiale. Metodologie per l'addestramento di reti neurali. Collaborative filtering: un confronto empirico tra algoritmi "standard" e reti neurali.
References
Bibliografia: pp. 104-107.
| 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: | Machine learning & object driven marketing |
| Thesis Supervisor: | Laura, Luigi |
| Thesis Co-Supervisor: | Italiano, Giuseppe Francesco |
| Academic Year: | 2017/2018 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 21 Feb 2019 13:14 |
| Last Modified: | 21 Feb 2019 13:14 |
| URI: | https://tesi.luiss.it/id/eprint/22331 |
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