public double Match(SearchWord searchWord, ResultTerm resultTerm)
{
double bestConfidenceSoFar = 0;
foreach (string resultValue in resultTerm.Term.Values)
{
double weightedDistance;
if (!searchWord.IsPartial || searchWord.Value.Length >= resultValue.Length)
{
int distance = LevenshteinDistance.Compute(searchWord.Value, resultValue);
weightedDistance = (double)distance / (double)resultValue.Length;
}
else
{
string partialValue = resultValue.Substring(0, searchWord.Value.Length);
int distance = LevenshteinDistance.Compute(searchWord.Value, partialValue);
weightedDistance = ((double)distance / (double)partialValue.Length);
}
double confidence = 1 / (1 + weightedDistance);
if (confidence > bestConfidenceSoFar)
{
bestConfidenceSoFar = confidence;
}
}
return(bestConfidenceSoFar);
}
public ResultMetadata ParseResult(T result)
{
List <ResultTerm> resultTerms = new List <ResultTerm>();
IEnumerable <string> words = Split(result);
foreach (string word in words)
{
ITerm term = null;
double relevance = 1;
foreach (Synonym synonym in Synonyms)
{
if (synonym.Values.Any(v => v == word))
{
term = synonym;
break;
}
}
if (term != null)
{
foreach (CommonTerm commonTerm in CommonTerms)
{
if (commonTerm.Term == term)
{
relevance = commonTerm.Relevance;
break;
}
}
}
else
{
term = new Word(word);
}
ResultTerm resultTerm = new ResultTerm(term, relevance);
resultTerms.Add(resultTerm);
}
return(new ResultMetadata(resultTerms));
}
