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The core of LensKit, providing basic implementations and algorithm support.

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/*
 * LensKit, an open source recommender systems toolkit.
 * Copyright 2010-2016 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.lenskit.hybrid;

import org.grouplens.grapht.annotation.DefaultDouble;
import org.lenskit.inject.Parameter;

import javax.inject.Qualifier;
import java.lang.annotation.*;

/**
 * Blending weight for two-element hybrids.
 *
 * For a blending weight $0 \le 0 \le 1$, a blending hybrid will mix scores from *left* and *right* recommenders such
 * that $s = w s_l + (1-w) s_r$.
 *
 * @see RankBlendingItemRecommender.Left
 * @see RankBlendingItemRecommender.Right
 */
@Qualifier
@Documented
@Parameter(Double.class)
@DefaultDouble(0.5)
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.PARAMETER, ElementType.FIELD, ElementType.METHOD})
public @interface BlendWeight {
}