public class SimpleRatingPredictor extends Object implements RatingPredictor
Basic rating predictor that uses scores, clamped to valid rating values if appropriate. It returns results of type RescoredResult
.
The default item scorer used by the rating predictor is provided by FallbackItemScorer.DynamicProvider
, so it will default to falling back to the baseline scorer if one is present.
Constructor and Description |
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SimpleRatingPredictor(ItemScorer s,
PreferenceDomain dom)
Create a new simple rating predictor.
|
Modifier and Type | Method and Description |
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ItemScorer |
getItemScorer() |
PreferenceDomain |
getPreferenceDomain() |
Map<Long,Double> |
predict(long user,
Collection<Long> items)
Predict the user’s preference for a collection of items.
|
RescoredResult |
predict(long user,
long item)
Predict a user’s rating for a single item.
|
ResultMap |
predictWithDetails(long user,
Collection<Long> items)
Predict the user’s preference for a collection of items, potentially with additional details.
|
@Inject public SimpleRatingPredictor(@Nonnull @PredictionScorer ItemScorer s, @Nullable PreferenceDomain dom)
Create a new simple rating predictor.
s
- The scorer.dom
- The preference domain.@Nonnull public ItemScorer getItemScorer()
@Nullable public PreferenceDomain getPreferenceDomain()
public RescoredResult predict(long user, long item)
RatingPredictor
Predict a user’s rating for a single item.
predict
in interface RatingPredictor
user
- The user ID for whom to generate a prediction.item
- The item ID whose rating is to be predicted.Double.NaN
if no preference can be predicted.@Nonnull public Map<Long,Double> predict(long user, @Nonnull Collection<Long> items)
RatingPredictor
Predict the user’s preference for a collection of items.
predict
in interface RatingPredictor
user
- The user ID for whom to generate predicts.items
- The items to predict for.@Nonnull public ResultMap predictWithDetails(long user, @Nonnull Collection<Long> items)
RatingPredictor
Predict the user’s preference for a collection of items, potentially with additional details.
predictWithDetails
in interface RatingPredictor
user
- The user ID for whom to generate predicts.items
- The items to predict for.