Skip to main content

Table 2 RMSE (10-CV) calculated in baseline experiments, for each rating type. The k denotes the number of neighbors used for prediction, chosen experimentally

From: Beyond the Big Five personality traits for music recommendation systems

Experiment name

RMSE for:

Q1

Q2

Q3

Item-based with ratings similarity (\(k=50\))

1.192

1.173

1.052

User-based with ratings similarity (\(k=10\))

1.326

1.313

1.199

Item-based with all features similarity (\(k=10\))

1.163

1.144

1.029

User-based with all personalities similarity (\(k=10\))

1.365

1.361

1.262

Hybrid with ratings similarity (\(k_s=50, k_u=10\))

1.180

1.163

1.043

Hybrid with all personalities and features similarity (\(k_s=10, k_u=10\))

1.150

1.139

1.028