org.grouplens.lenskit.knn.item

Class DefaultItemScoreAlgorithm

java.lang.Object

org.grouplens.lenskit.knn.item.DefaultItemScoreAlgorithm

All Implemented Interfaces:

ItemScoreAlgorithm

public class DefaultItemScoreAlgorithm
extends Object
implements ItemScoreAlgorithm

Default item scoring algorithm. It uses up to NeighborhoodSize neighbors to score each item.

Constructor Summary

Constructors

Constructor and Description
DefaultItemScoreAlgorithm(int n, int min)

Method Summary

Modifier and Type	Method and Description
void	scoreItems(ItemItemModel model, SparseVector userData, MutableSparseVector scores, NeighborhoodScorer scorer) Score items for a user.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DefaultItemScoreAlgorithm

@Inject
public DefaultItemScoreAlgorithm(@NeighborhoodSize
                                         int n,
                                         @MinNeighbors
                                         int min)

Method Detail

scoreItems

public void scoreItems(ItemItemModel model,
                       SparseVector userData,
                       MutableSparseVector scores,
                       NeighborhoodScorer scorer)

Description copied from interface: ItemScoreAlgorithm

Score items for a user.

Specified by:

scoreItems in interface ItemScoreAlgorithm

Parameters:

model - The item-item model.

userData - The user's rating data.

scores - The score vector (key domain is items to score). Unscoreable items will be left unchanged.

scorer - The scorer to use.