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The core public APIs implemented by LensKit.
/*
* LensKit, an open source recommender systems toolkit.
* Copyright 2010-2014 LensKit Contributors. See CONTRIBUTORS.md.
* Work on LensKit has been funded by the National Science Foundation under
* grants IIS 05-34939, 08-08692, 08-12148, and 10-17697.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2.1 of the
* License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
* FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
* details.
*
* You should have received a copy of the GNU General Public License along with
* this program; if not, write to the Free Software Foundation, Inc., 51
* Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package org.grouplens.lenskit;
import java.util.Collection;
import javax.annotation.Nonnull;
import org.grouplens.lenskit.vectors.MutableSparseVector;
import org.grouplens.lenskit.vectors.SparseVector;
/**
* 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.
*
* @author GroupLens Research
* @compat Public
* @since 0.10
*/
public interface GlobalItemScorer {
/**
* Score a single item based on a collection of items(a shopping basket).
*
* @param queryItems The objective items ID used as the query
* @param item The item ID to score.
* @return The preference, or {@link Double#NaN} if no preference can be
* predicted.
*/
double globalScore(@Nonnull Collection queryItems, long item);
/**
* Score a collection of items based on a collection of items(a shopping basket).
*
* @param queryItems The objective items ID used as the query
* @param items The list of items to score.
* @return A mapping from item IDs to predicted preference. This mapping may
* not contain all requested items.
*/
@Nonnull
SparseVector globalScore(@Nonnull Collection queryItems,
@Nonnull Collection items);
/**
* Score items in a vector based on a collection of items (a shopping basket).
*
* @param queryItems The items to use as the query.
* @param output A vector whose key domain is the items to score.
* @see ItemScorer#score(long, MutableSparseVector)
*/
void globalScore(@Nonnull Collection queryItems,
@Nonnull MutableSparseVector output);
}