Comments (1)
tqtg
commented on August 19, 2024
If your data contains one user rating one item multiple times, only the first observation (encountered during data reading) will be taken into account. The rest will be considered as duplicates.
If you want to merge them into one rating, you should do that little preprocessing before loading data into Cornac.
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Related Issues (20)
- [FEATURE] Init an evaluation with a predefined global_uid_map and global_iid_map HOT 3
- [FEATURE] Add next-item recommendation models HOT 1
- [FEATURE] There is no model type in table models HOT 2
- [FEATURE] Support for multiple generic FeatureModalities for items HOT 1
- LightGCN/NGCF with cornac.hyperopt HOT 1
- [ASK] Are there any benchmarks considering all models included in cornac? HOT 3
- [ASK] HOT 3
- [FEATURE] Support chronological split for next-basket recommendation HOT 4
- [ASK] Is there a way to find all GPU supported models? HOT 1
- Unable to Install Cornac on Mac HOT 15
- [FEATURE] Allow running evaluation on validation set during training or right after training is done HOT 4
- [BUG] Trirank documentation X&Y HOT 2
- [BUG] Add amazon_digital_music to datasets init HOT 1
- [BUG] Having a failed unit test for SPop
- [BUG] Crash when using cornac with Numpy 2.0 HOT 3
- [BUG] Attribute Error with csr_matrix using Recommender based models HOT 2
- [ASK] Installing Cornac on Mac after Forking the repo lead to ModuleNotFoundError HOT 3
- [ASK] adding user demographics as feature for training HOT 5
- [FEATURE] Categorizing models by supported modalities HOT 2
- [ASK]ModuleNotFoundError: No module named 'cornac.utils.fast_sparse_funcs' HOT 2
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