Collaborative Filtering Recommender Systems Based on Deep Learning Models
| Autor: | Majača, Josip |
|---|---|
| Přispěvatelé: | Delač, Goran |
| Jazyk: | chorvatština |
| Rok vydání: | 2022 |
| Předmět: | |
| Popis: | Ovaj rad se bavi sustavima za preporučivanje zasnovanim na suradničkom filtriranju uz primjenu modela dubokog učenja. Uvode se pojmovi usko vezani za suradničko filtriranje i strojno učenje općenito. Objašnjen je i programski ostvaren radni okvir neuralnog suradničkog filtriranja u programskom jeziku Python pomoću PyTorch radnog okvira. Na kraju je provedena validacija rezultata modela s obzirom na različite hiperparametre modela. This thesis deals with collaborative filtering recommender systems based on deep learning models. Concepts about collaborative filtering and machine learning in general are introduced. The Neural Collaborative Filtering framework is explained and implemented in Python programming language with the help of PyTorch framework. Finally, validation of the model was performed with assessing different model hyperparameters. |
| Databáze: | OpenAIRE |
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