ALS BiasedMF

This page analyzes the hyperparameter tuning results for biased matrix factorization with ALS.

Parameter Search Space

Parameter	Type	Distribution	Values	Selected
embedding_size	Integer	LogUniform	4 ≤ \(x\) ≤ 512	471
regularization.user	Float	LogUniform	1e-05 ≤ \(x\) ≤ 1	0.673
regularization.item	Float	LogUniform	1e-05 ≤ \(x\) ≤ 1	0.00536
damping.user	Float	LogUniform	1e-12 ≤ \(x\) ≤ 100	0.0353
damping.item	Float	LogUniform	1e-12 ≤ \(x\) ≤ 100	3.07e-08

Final Result

Searching selected the following configuration:

{
    'embedding_size': 471,
    'regularization': {'user': 0.6726624938362399, 'item': 0.00535745254610969},
    'damping': {'user': 0.03532608682135444, 'item': 3.0727948378692085e-08},
    'epochs': 6
}

With these metrics:

{
    'RBP': 0.0016805195576097428,
    'LogRBP': -2.5944123031243844,
    'NDCG': 0.3078925720949283,
    'RecipRank': 0.010075027000352418,
    'RMSE': 0.7918119847363368,
    'TrainTask': '6155c275-6616-4374-a9c1-d56059c7fd5b',
    'TrainTime': None,
    'TrainCPU': None,
    'max_epochs': 30,
    'done': True,
    'training_iteration': 6,
    'trial_id': 'ea472d4e',
    'date': '2025-05-05_20-18-58',
    'timestamp': 1746490738,
    'time_this_iter_s': 297.6282503604889,
    'time_total_s': 1991.604411125183,
    'pid': 338683,
    'hostname': 'CCI-ws21',
    'node_ip': '10.248.127.152',
    'config': {
        'embedding_size': 471,
        'regularization': {'user': 0.6726624938362399, 'item': 0.00535745254610969},
        'damping': {'user': 0.03532608682135444, 'item': 3.0727948378692085e-08},
        'epochs': 6
    },
    'time_since_restore': 1991.604411125183,
    'iterations_since_restore': 6
}

Parameter Analysis

Embedding Size

The embedding size is the hyperparameter that most affects the model’s fundamental logic, so let’s look at performance as a fufnction of it:

Learning Parameters

Iteration Completion

How many iterations, on average, did we complete?

How did the metric progress in the best result?

How did the metric progress in the longest results?