private string RetrieveSearchQuery(string cmd, string item)
{
List <string> text = new List <string>(item.ToLower().Split(new string[] { " " }, StringSplitOptions.RemoveEmptyEntries));
SearchEngine engine = AssistingSearchEngine(cmd);
string[] tokens = engine.Name.ToLower().Split(new string[] { " ", "_", "-", "(", ")", "[", "]", "{", "}" }, StringSplitOptions.RemoveEmptyEntries);
// discover what tokens represent a search engine
foreach (string token in tokens)
{
int min = Int32.MaxValue;
int min_pos = -1;
for (int i = 0; i < text.Count; i++)
{
if (StringUtility.WordContainsWord(text[i], token))
{
int dist = EditDistanceMeasurer.LevenshteinDistance(text[i], token);
if (dist < min)
{
min = dist;
min_pos = i;
}
}
}
// delete the token
if (min_pos != -1)
{
text.RemoveAt(min_pos);
}
}
// build the query
string content = string.Empty;
for (int i = 0; i < text.Count; i++)
{
if (i == text.Count - 1)
{
content += text[i];
}
else
{
content += text[i] + " ";
}
}
return(content);
}
private int CalcNonFittedWordDistance(string word1, string word2)
{
return(EditDistanceMeasurer.LevenshteinDistance(word2, word1));
}