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ITMKNN/REPORT.txt

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+Model: itemknn | Loss: bpr
+Experiment: exp-itemknn-2
+Users: 260039 | Items: 365797
+Best val Recall@10: 0.9396 (epoch 19)
+Test: P@10=0.0956  R@10=0.9556  F1@10=0.1738  MAP@10=0.8720  NDCG@10=0.8932

ITMKNN/hparams.json

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+{
+  "data_dir": "artifacts/movies_from_music-2/data",
+  "out_root": "checkpoint",
+  "model": "itemknn",
+  "loss": "bpr",
+  "exp_name": "exp-itemknn-2",
+  "epochs": 30,
+  "batch_size": 1024,
+  "emb_dim": 64,
+  "lr": 0.003,
+  "l2": 1e-06,
+  "topk": 10,
+  "eval_negs": 99,
+  "patience": 3,
+  "seed": 42,
+  "resume": false,
+  "save_embeddings": false,
+  "itemknn_topk_neighbors": 200,
+  "lightgcn_layers": 3,
+  "cache_lightgcn": true,
+  "policy_name": "none",
+  "epsilon": 0.1,
+  "alpha": 1.0,
+  "replay_after_train": false,
+  "candidate_topn": 200,
+  "slate_k": 10,
+  "bootstrap_iters": 1000
+}

ITMKNN/item_embeddings.npy

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ITMKNN/metrics.json

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+{
+  "best_val_recall": 0.939646649967552,
+  "best_epoch": 19,
+  "test": {
+    "precision": 0.09556335780402173,
+    "recall": 0.9556335780402171,
+    "f1": 0.17375155964367578,
+    "map": 0.872031991294102,
+    "ndcg": 0.8932185284730066
+  }
+}

ITMKNN/test_metrics.csv

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ITMKNN/train_log.csv

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ITMKNN/user_embeddings.npy

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MF/item_embeddings.npy

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MF/user_embeddings.npy

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NEUMF/item_embeddings.npy

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NEUMF/user_embeddings.npy

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