Datasets:
File size: 1,959 Bytes
7b9faf4 9e6fa95 7b9faf4 9e6fa95 7b9faf4 9e6fa95 7b9faf4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | {
"protocol": "temporal leave-one-out, three-way (train / val / test)",
"fold_assignment": {
"test": "last interaction per user",
"val": "second-last interaction per user",
"train": "all earlier interactions"
},
"temporal_scope": {
"ordering": "per user, not global",
"note": "Each user's own history is split chronologically, so no user's future leaks into their training data. Across users the folds overlap in wall-clock time: one user's training review can be later than another user's test review. This is the standard leave-last-one-out protocol; a single global cut-off date would be a different and stricter setting, and is not used here."
},
"relevance": {
"definition": "implicit next-item: the chronologically next hotel the user reviewed",
"all_ratings_are_positive": true,
"relevance_threshold": null,
"note": "Ratings are not thresholded by default; the holdout item is relevant because it was visited, not because it scored well."
},
"min_interactions": 4,
"seed": 42,
"n_users": 798,
"n_items": 535,
"n_train": 8645,
"n_val": 798,
"n_test": 798,
"train_history_length": {
"min": 2,
"median": 5.0,
"max": 208
},
"users_with_train_history_2": 183,
"users_evaluated": {
"val": 798,
"test": 798
},
"sparsity_pct": 97.6012,
"output_dir": "benchmark",
"folds": {
"train": {
"n": 8645,
"n_users": 798,
"n_items": 508,
"date_min": "2012-01-08",
"date_max": "2023-12-06",
"rating_mean": 7.5283
},
"val": {
"n": 798,
"n_users": 798,
"n_items": 289,
"date_min": "2015-10-20",
"date_max": "2023-12-07",
"rating_mean": 7.5561
},
"test": {
"n": 798,
"n_users": 798,
"n_items": 278,
"date_min": "2017-07-08",
"date_max": "2023-12-09",
"rating_mean": 7.4976
}
}
} |