├── .gitignore ├── LICENSE ├── README.md ├── acr_module ├── acr │ ├── __init__.py │ ├── acr_commons.py │ ├── acr_datasets.py │ ├── acr_model.py │ ├── acr_trainer_adressa.py │ ├── acr_trainer_gcom.py │ ├── preprocessing │ │ ├── acr_preprocess_adressa.py │ │ ├── acr_preprocess_gcom.py │ │ ├── doc2vec_adressa.py │ │ ├── doc2vec_gcom.py │ │ ├── lsa_adressa.py │ │ ├── lsa_gcom.py │ │ ├── tokenization.py │ │ ├── w2v_tfidf_adressa.py │ │ ├── w2v_tfidf_gcom.py │ │ └── word_embeddings.py │ ├── setup.py │ ├── tf_records_management.py │ └── utils.py └── scripts │ ├── run_acr_preprocessing_adressa.sh │ ├── run_acr_preprocessing_gcom.sh │ ├── run_acr_training_adressa_local_classification.sh │ ├── run_acr_training_adressa_mlengine_autoencoder.sh │ ├── run_acr_training_adressa_mlengine_classification.sh │ ├── run_acr_training_gcom_local_autoencoder.sh │ ├── run_acr_training_gcom_local_classification.sh │ ├── run_acr_training_gcom_mlengine_autoencoder.sh │ └── run_acr_training_gcom_mlengine_classification.sh ├── nar_module ├── nar │ ├── __init__.py │ ├── benchmarks │ │ ├── __init__.py │ │ ├── benchmarks.py │ │ ├── benchmarks_data_loader.py │ │ ├── candidate_sampling.py │ │ ├── candidate_sampling_tests.py │ │ ├── content_based.py │ │ ├── gru4rec │ │ │ ├── gru4rec2.py │ │ │ ├── gru4rec2_evaluation.py │ │ │ └── run_gru4rec.py │ │ ├── item_cooccurrences.py │ │ ├── item_knn.py │ │ ├── recently_popular.py │ │ ├── sequential_rules.py │ │ ├── session_knn.py │ │ └── sr-gnn │ │ │ ├── __init__.py │ │ │ ├── gnn_ml_fast.py │ │ │ ├── run_sr_gnn.py │ │ │ └── utils.py │ ├── clicked_items_state.py │ ├── datasets.py │ ├── evaluation.py │ ├── gcs_utils.py │ ├── metrics.py │ ├── nar_model.py │ ├── nar_trainer_adressa.py │ ├── nar_trainer_gcom.py │ ├── nar_utils.py │ ├── preprocessing │ │ ├── nar_preprocess_adressa.py │ │ └── nar_preprocess_gcom.py │ ├── tf_records_management.py │ └── utils.py ├── nar_mlengine_hypertuning.yaml ├── scripts │ ├── benchmarks │ │ 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