Research on performance improvement of personalized recommendation algorithm based on deep neural network optimization
21 mar 2025
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Publicado en línea: 21 mar 2025
Recibido: 29 oct 2024
Aceptado: 06 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0623
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© 2025 Xianglin Xiao, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Dataset
| Dataset | Number of interactions | Number of users | Number of projects | Sparsity |
|---|---|---|---|---|
| Movie Lens | 1000309 | 3807 | 6050 | 95.42% |
| 1500709 | 9948 | 55175 | 99.68% |
HR values of different MLP layers
| Dataset | Factors | MLP-0 | MLP-1 | MLP-2 | MLP-4 |
|---|---|---|---|---|---|
| MovieLens | 8 | 0.46 | 0.629 | 0.668 | 0.665 |
| 16 | 0.45 | 0.678 | 0.685 | 0.69 | |
| 32 | 0.464 | 0.693 | 0.702 | 0.709 | |
| 8 | 0.298 | 0.85 | 0.853 | 0.862 | |
| 16 | 0.301 | 0.867 | 0.856 | 0.862 | |
| 32 | 0.298 | 0.87 | 0.861 | 0.86 |
Model pretraining
| Training | Factors | MovieLens | |||
|---|---|---|---|---|---|
| HR | NDCG | HR | NDCG | ||
| With Pre_training | 8 | 0.707 | 0.402 | 0.885 | 0.564 |
| 16 | 0.722 | 0.445 | 0.88 | 0.567 | |
| 32 | 0.721 | 0.446 | 0.891 | 0.548 | |
| Without Pre_training | 8 | 0.679 | 0.409 | 0.879 | 0.545 |
| 16 | 0.704 | 0.421 | 0.875 | 0.559 | |
| 32 | 0.71 | 0.442 | 0.868 | 0.545 | |