/**
* Copyright (c) 2006-2009, NEPOMUK Consortium
*
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* * Neither the name of the NEPOMUK Consortium nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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*
**/
package processing.folkrank;
/** A weight initialization strategy is used to initialize weight and preference
* vectors in a FolkRank computation.
*
* @author rja
*/
public interface WeightInitializationStrategy {
/** Initializes the vectors weights, prefWeights and prefWeightsNormFactors
* with the help of the given parameters param.
* Note that the memory for all vectors must be allocated before calling
* initializeWeights!
*
* @param pref - The preference to be used for initialization.
*
* @param weights - The output vector - "real" weight vector used for the
* FolkRank computation; initialized in this method.
*
* @param prefWeights - The output vector which specifies for every
* dimension how many preference weight <em>each item</em> in that dimension
* gets.
*
* @param prefWeightsNormFactors - The output vector which specifies for
* every dimension the value the additional preferences have to be divided
* with such that everything sums up to one.
*/
public abstract void initalizeWeights(
FolkRankPref pref,
double[][] weights,
double[] prefWeights,
double[] prefWeightsNormFactors);
}