blob: 70dff10824b2a63ef0e8e9973e99d27fe310af6d [file] [log] [blame]
using static Lucene.Net.Search.Similarities.SimilarityBase;
namespace Lucene.Net.Search.Similarities
{
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/// <summary>
/// Geometric as limiting form of the Bose-Einstein model. The formula used in Lucene differs
/// slightly from the one in the original paper: <c>F</c> is increased by <c>1</c>
/// and <c>N</c> is increased by <c>F</c>.
/// <para/>
/// @lucene.experimental
/// </summary>
public class BasicModelG : BasicModel
{
/// <summary>
/// Sole constructor: parameter-free </summary>
public BasicModelG()
{
}
public override sealed float Score(BasicStats stats, float tfn)
{
// just like in BE, approximation only holds true when F << N, so we use lambda = F / (N + F)
double F = stats.TotalTermFreq + 1;
double N = stats.NumberOfDocuments;
double lambda = F / (N + F);
// -log(1 / (lambda + 1)) -> log(lambda + 1)
return (float)(Log2(lambda + 1) + tfn * Log2((1 + lambda) / lambda));
}
public override string ToString()
{
return "G";
}
}
}