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Update results from #523
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tqtg committed Oct 26, 2023
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Expand Up @@ -96,9 +96,9 @@ cornac.Experiment(eval_method=rs, models=models, metrics=metrics, user_based=Tru
| | MAE | RMSE | AUC | MAP | NDCG@10 | Precision@10 | Recall@10 | Train (s) | Test (s) |
| ------------------------ | -----: | -----: | -----: | ------: | ------: | -----------: | --------: | ---------: | -------: |
| [MF](cornac/models/mf) | 0.7430 | 0.8998 | 0.7445 | 0.0407 | 0.0479 | 0.0437 | 0.0352 | 0.13 | 1.57 |
| [PMF](cornac/models/pmf) | 0.7534 | 0.9138 | 0.7744 | 0.0491 | 0.0617 | 0.0533 | 0.0479 | 2.18 | 1.64 |
| [BPR](cornac/models/bpr) | N/A | N/A | 0.8695 | 0.0753 | 0.0975 | 0.0727 | 0.0891 | 3.74 | 1.49 |
| [MF](cornac/models/mf) | 0.7430 | 0.8998 | 0.7445 | 0.0548 | 0.0761 | 0.0675 | 0.0463 | 0.13 | 1.57 |
| [PMF](cornac/models/pmf) | 0.7534 | 0.9138 | 0.7744 | 0.0671 | 0.0969 | 0.0813 | 0.0639 | 2.18 | 1.64 |
| [BPR](cornac/models/bpr) | N/A | N/A | 0.8695 | 0.1042 | 0.1500 | 0.1110 | 0.1195 | 3.74 | 1.49 |
For more details, please take a look at our [examples](examples) as well as [tutorials](tutorials). For learning purposes, this list of [tutorials on recommender systems](https://github.com/PreferredAI/tutorials/tree/master/recommender-systems) will be more organized and comprehensive.
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