Parameter | Type | Distribution | Values | Selected |
---|---|---|---|---|
max_nbrs | Integer | Uniform | 2 ≤ \(x\) ≤ 50 | 15 |
min_nbrs | Integer | Uniform | 1 ≤ \(x\) ≤ 5 | 3 |
min_sim | Float | LogUniform | 1e-06 ≤ \(x\) ≤ 0.1 | 5.2e-06 |
IKNN Explicit
This page analyzes the hyperparameter tuning results for the ItemKNN scorer in explicit-feedback mode.
Parameter Search Space
Final Result
Searching selected the following configuration:
{'max_nbrs': 15, 'min_nbrs': 3, 'min_sim': 5.202128687549262e-06}
With these metrics:
{ 'RBP': 0.007224187396892494, 'LogRBP': -1.1360805525555575, 'NDCG': 0.1695574515325175, 'RecipRank': 0.03025773189222037, 'RMSE': 0.8056762891494675, 'TrainTask': 'b7b9c31c-413e-441b-8e63-e7e01ac3fee9', 'TrainTime': 0.23214796802494675, 'TrainCPU': 0.22415699999999997, 'TestTask': '64fcd8a3-cb08-4e23-82a8-9d577d40d341', 'TestTime': 7.212553570047021, 'TestCPU': 7.229377, 'timestamp': 1746444706, 'checkpoint_dir_name': None, 'done': True, 'training_iteration': 1, 'trial_id': '38b77b12', 'date': '2025-05-05_07-31-46', 'time_this_iter_s': 8.199475765228271, 'time_total_s': 8.199475765228271, 'pid': 3886883, 'hostname': 'CCI-ws21', 'node_ip': '10.248.127.152', 'config': {'max_nbrs': 15, 'min_nbrs': 3, 'min_sim': 5.202128687549262e-06}, 'time_since_restore': 8.199475765228271, 'iterations_since_restore': 1, 'experiment_tag': '98_max_nbrs=15,min_nbrs=3,min_sim=0.0000' }
Parameter Behavior
Neighborhood Size
The neighborhood size is key argument to consider, let’s look at RMSE with repspect to that:
Filtering
There are two filtering parameters we also test — minimum neighbors and mininmum simialrity.