public class BiasedMFItemScorer extends AbstractItemScorer
Item scorer using biased matrix factorization. This implements SVD-style item scorers.
| Constructor and Description |
|---|
BiasedMFItemScorer(MFModel mod,
BiasedMFKernel kern,
ItemScorer bl)
Create a new biased MF item scorer.
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| Modifier and Type | Method and Description |
|---|---|
MFModel |
getModel() |
protected org.apache.commons.math3.linear.RealVector |
getUserPreferenceVector(long user)
Get a user’s preference vector.
|
ResultMap |
scoreWithDetails(long user,
Collection<Long> items)
Score a collection of items and potentially return more details on the scores.
|
score, score@Inject public BiasedMFItemScorer(MFModel mod, BiasedMFKernel kern, @BaselineScorer ItemScorer bl)
Create a new biased MF item scorer.
mod - The model (factorized matrix)kern - The kernel function to compute scores.bl - The baseline scorer (used to compute biases).@Nullable protected org.apache.commons.math3.linear.RealVector getUserPreferenceVector(long user)
Get a user’s preference vector.
user - The user ID.null if no preferences are available for the user.public MFModel getModel()
@Nonnull public ResultMap scoreWithDetails(long user, @Nonnull Collection<Long> items)
ItemScorerScore a collection of items and potentially return more details on the scores.
user - The user ID for whom to generate scores.items - The item to score.ResultMap that provides access to those details.