org.grouplens.lenskit

Interface GlobalItemScorer

All Known Subinterfaces:

ItemItemModelBackedGlobalScorer

All Known Implementing Classes:

AbstractGlobalItemScorer, ItemItemGlobalScorer

public interface GlobalItemScorer

Score items for given item(s). These scores can be predicted relevance scores, purchase probabilities, or any other real-valued score which can be assigned to an item for a given item.

Since:

0.10

Compatibility

Public

Method Summary

Modifier and Type	Method and Description
SparseVector	globalScore(Collection<Long> queryItems, Collection<Long> items) Score a collection of items based on a collection of items(a shopping basket).
double	globalScore(Collection<Long> queryItems, long item) Score a single item based on a collection of items(a shopping basket).
void	globalScore(Collection<Long> queryItems, MutableSparseVector output) Score items in a vector based on a collection of items (a shopping basket).

Method Detail

globalScore

double globalScore(@Nonnull
                   Collection<Long> queryItems,
                   long item)

Score a single item based on a collection of items(a shopping basket).

Parameters:

queryItems - The objective items ID used as the query

item - The item ID to score.

Returns:

The preference, or Double.NaN if no preference can be predicted.

globalScore

@Nonnull
SparseVector globalScore(@Nonnull
                                  Collection<Long> queryItems,
                                  @Nonnull
                                  Collection<Long> items)

Score a collection of items based on a collection of items(a shopping basket).

Parameters:

queryItems - The objective items ID used as the query

items - The list of items to score.

Returns:

A mapping from item IDs to predicted preference. This mapping may not contain all requested items.

globalScore

void globalScore(@Nonnull
                 Collection<Long> queryItems,
                 @Nonnull
                 MutableSparseVector output)

Score items in a vector based on a collection of items (a shopping basket).

Parameters:

queryItems - The items to use as the query.

output - A vector whose key domain is the items to score.

See Also:

ItemScorer.score(long, MutableSparseVector)