嘿，我正在使用Levenshteins算法来获取源字符串和目标字符串之间的距离。

我也有方法返回值从0到1：

/// <summary>
/// Gets the similarity between two strings.
/// All relation scores are in the [0, 1] range, 
/// which means that if the score gets a maximum value (equal to 1) 
/// then the two string are absolutely similar
/// </summary>
/// <param name="string1">The string1.</param>
/// <param name="string2">The string2.</param>
/// <returns></returns>
public static float CalculateSimilarity(String s1, String s2)
{
    if ((s1 == null) || (s2 == null)) return 0.0f;

    float dis = LevenshteinDistance.Compute(s1, s2);
    float maxLen = s1.Length;
    if (maxLen < s2.Length)
        maxLen = s2.Length;
    if (maxLen == 0.0F)
        return 1.0F;
    else return 1.0F - dis / maxLen;
}

但这对我来说还不够。因为我需要更复杂的方式来匹配两个句子。

例如，我想自动标记一些音乐，我拥有原始歌曲名称，并且我有带有垃圾邮件的歌曲，例如 super，quality， 诸如 2007、2008等
年份。等等。还有一些文件只有http：// trash。
.thash..song_name_mp3.mp3，其他都是正常的。我想创建一种算法，该算法现在比我的算法更完美。.也许有人可以帮助我吗？

这是我目前的算法：

/// <summary>
/// if we need to ignore this target.
/// </summary>
/// <param name="targetString">The target string.</param>
/// <returns></returns>
private bool doIgnore(String targetString)
{
    if ((targetString != null) && (targetString != String.Empty))
    {
        for (int i = 0; i < ignoreWordsList.Length; ++i)
        {
            //* if we found ignore word or target string matching some some special cases like years (Regex).
            if (targetString == ignoreWordsList[i] || (isMatchInSpecialCases(targetString))) return true;
        }
    }

   return false;
}

/// <summary>
/// Removes the duplicates.
/// </summary>
/// <param name="list">The list.</param>
private void removeDuplicates(List<String> list)
{
    if ((list != null) && (list.Count > 0))
    {
        for (int i = 0; i < list.Count - 1; ++i)
        {
            if (list[i] == list[i + 1])
            {
                list.RemoveAt(i);
                --i;
            }
        }
    }
}

/// <summary>
/// Does the fuzzy match.
/// </summary>
/// <param name="targetTitle">The target title.</param>
/// <returns></returns>
private TitleMatchResult doFuzzyMatch(String targetTitle)
{
    TitleMatchResult matchResult = null;

   if (targetTitle != null && targetTitle != String.Empty)
   {
       try
       {
           //* change target title (string) to lower case.
           targetTitle = targetTitle.ToLower();

           //* scores, we will select higher score at the end.
           Dictionary<Title, float> scores = new Dictionary<Title, float>();

           //* do split special chars: '-', ' ', '.', ',', '?', '/', ':', ';', '%', '(', ')', '#', '\"', '\'', '!', '|', '^', '*', '[', ']', '{', '}', '=', '!', '+', '_'
           List<String> targetKeywords = new List<string>(targetTitle.Split(ignoreCharsList, StringSplitOptions.RemoveEmptyEntries));

          //* remove all trash from keywords, like super, quality, etc..
           targetKeywords.RemoveAll(delegate(String x) { return doIgnore(x); });
          //* sort keywords.
          targetKeywords.Sort();
        //* remove some duplicates.
        removeDuplicates(targetKeywords);

        //* go through all original titles.
        foreach (Title sourceTitle in titles)
        {
            float tempScore = 0f;
            //* split orig. title to keywords list.
            List<String> sourceKeywords = new List<string>(sourceTitle.Name.Split(ignoreCharsList, StringSplitOptions.RemoveEmptyEntries));
            sourceKeywords.Sort();
            removeDuplicates(sourceKeywords);

            //* go through all source ttl keywords.
            foreach (String keyw1 in sourceKeywords)
            {
                float max = float.MinValue;
                foreach (String keyw2 in targetKeywords)
                {
                    float currentScore = StringMatching.StringMatching.CalculateSimilarity(keyw1.ToLower(), keyw2);
                    if (currentScore > max)
                    {
                        max = currentScore;
                    }
                }
                tempScore += max;
            }

            //* calculate average score.
            float averageScore = (tempScore / Math.Max(targetKeywords.Count, sourceKeywords.Count));

            //* if average score is bigger than minimal score and target title is not in this source title ignore list.
            if (averageScore >= minimalScore && !sourceTitle.doIgnore(targetTitle))
            {
                //* add score.
                scores.Add(sourceTitle, averageScore);
            }
        }

        //* choose biggest score.
        float maxi = float.MinValue;
        foreach (KeyValuePair<Title, float> kvp in scores)
        {
            if (kvp.Value > maxi)
            {
                maxi = kvp.Value;
                matchResult = new TitleMatchResult(maxi, kvp.Key, MatchTechnique.FuzzyLogic);
            }
        }
    }
    catch { }
}
//* return result.
return matchResult;
}

这正常工作，但只是在某些情况下，许多标题应该匹配，不匹配…我想我需要某种公式来处理权重等，但我想不到。

有想法吗？有什么建议吗？阿尔戈斯？

顺便说一句，我已经知道了这个主题（我的同事已经发布了这个主题，但是我们不能为这个问题提供适当的解决方案。）