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de.datexis.index.utils.ContextSimilarity Maven / Gradle / Ivy

package de.datexis.index.utils;

import org.apache.lucene.index.FieldInvertState;
import org.apache.lucene.search.similarities.ClassicSimilarity;

/**
 * Term similarity without normalization for Lucene.
 * @author sarnold
 */
public class ContextSimilarity extends ClassicSimilarity {
  
  /**
   * Compute an index-time normalization value for this field instance.
   * 

* This value will be stored in a single byte lossy representation by * {@link #encodeNormValue(float)}. * * @param state statistics of the current field (such as length, boost, etc) * @return an index-time normalization value */ @Override public float lengthNorm(FieldInvertState state) { return state.getBoost() * 1.0f; } /** Computes the normalization value for a query given the sum of the squared * weights of each of the query terms. This value is multiplied into the * weight of each query term. While the classic query normalization factor is * computed as 1/sqrt(sumOfSquaredWeights), other implementations might * completely ignore sumOfSquaredWeights (ie return 1). * *

This does not affect ranking, but the default implementation does make scores * from different queries more comparable than they would be by eliminating the * magnitude of the Query vector as a factor in the score. * * @param sumOfSquaredWeights the sum of the squares of query term weights * @return a normalization factor for query weights */ @Override public float queryNorm(float sumOfSquaredWeights) { return 1.0f; //(float)(1.0 / Math.sqrt(sumOfSquaredWeights)); } /** Computes a score factor based on the fraction of all query terms that a * document contains. This value is multiplied into scores. * *

The presence of a large portion of the query terms indicates a better * match with the query, so implementations of this method usually return * larger values when the ratio between these parameters is large and smaller * values when the ratio between them is small. * * @param overlap the number of query terms matched in the document * @param maxOverlap the total number of terms in the query * @return a score factor based on term overlap with the query */ @Override public float coord(int overlap, int maxOverlap) { return 1.f; } }





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