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按LINQ C#出現單詞對列表進行排序

[英]Sort List by occurrence of a word by LINQ C#

我已將數據存儲在列表中

 List<SearchResult> list = new List<SearchResult>();
 SearchResult sr = new SearchResult();
 sr.Description = "sample description";
 list.Add(sr);

假設我的數據存儲在描述字段中

"JCB Excavator - ECU P/N: 728/35700"
"Geo Prism 1995 - ABS #16213899"
"Geo Prism 1995 - ABS #16213899"
"Geo Prism 1995 - ABS #16213899"
"Wie man BBA reman erreicht"
"this test JCB"
"Ersatz Airbags, Gurtstrammer und Auto Körper Teile"

現在我想用我的搜索詞查詢列表,如geo jcb

如果你看,那么geo這個詞在描述字段中存儲了很多次。 所以我想以這樣的方式對我的列表進行排序,使搜索詞中的單詞最大化,數據將首先出現。 請幫我這樣做。 謝謝

您可以將string.SplitEnumerable.OrderByDescending與匿名類型一起使用:

List<SearchResult> list = new List<SearchResult>() { 
    new SearchResult(){Description="JCB Excavator - ECU P/N: 728/35700"},
    new SearchResult(){Description="Geo Prism 1995 - ABS #16213899"},
    new SearchResult(){Description="Geo Prism 1995 - ABS #16213899"},
    new SearchResult(){Description="Geo Prism 1995 - ABS #16213899"},
    new SearchResult(){Description="Wie man BBA reman erreicht"},
    new SearchResult(){Description="this test JCB"},
    new SearchResult(){Description="Ersatz Airbags, Gurtstrammer und Auto Körper Teile"},
};

string[] searchTerms = new[]{"geo", "jcb"};
var results = 
    list.Select(sr => new { Searchresult = sr, Words = sr.Description.Split(new[] { ' ' }, StringSplitOptions.RemoveEmptyEntries) })
        .OrderByDescending(x => x.Words.Count(w => searchTerms.Contains(w.ToLower())))
        .Select(x => x.Searchresult);

您可以使用簡單的正則表達式,只需將模式中的搜索項與|

var re = new Regex("geo|JCB",RegexOptions.IgnoreCase);

然后計算描述中的匹配數:

Console.WriteLine(re.Matches(description).Count); // Outputs '5' in your example

您可以通過以下方式訂購列表:

searchResults.OrderByDescending(r => re.Matches(r).Count);

實例: http//rextester.com/MMAT58077


編輯 :根據您在評論中鏈接的新問題(並希望您將更新此問題的詳細信息並讓副本死亡)您希望訂購結果,以便最常見的結果顯示在結果列表的前面。

為此,您可以先計算每個搜索短語的相關權重,然后使用它來對結果進行排序。

步驟1:通過計算每個搜索詞在整個數據集中出現的總次數來計算權重:

var wordsToFind = "Geo JCB".Split();
// find number of times each search phrase is found
var weights = wordsToFind.Select( w => new { 
         Word = w, 
         Weight = list.Where(x => x.Description.Contains(w)).Count() 
    } );

對於此問題中的數據,此時可以得出結果:

GEO: 3
JCB: 2

因此,您首先需要所有GEO結果,然后是JCB 我想一個不錯的選擇就是讓第一個結果成為GEO最常被提及的結果。

步驟2:使用步驟1中計算的權重來排序搜索結果。

var values = list.Select(x => new { 
      SearchResult = x, 
      Words = x.Description.Split(' ')
   })
   .Select(x => new { 
       SearchResult = x.SearchResult, 
       Weight = weights.Sum(w => x.Words.Contains(w.Word) ? w.Weight : 0)
   })
   .OrderByDescending(x => x.Weight)
   .Select(x => x.SearchResult);

實例: http//rextester.com/SLH38676

List<SearchResult> list = new List<SearchResult>() 
{ 
   new SearchResult { Description = "JCB Excavator - ECU P/N: 728/35700" },
   new SearchResult { Description = "Geo Prism 1995 - ABS #16213899" },
   new SearchResult { Description = "Geo Prism 1995 - ABS #16213899" },
   new SearchResult { Description = "Geo Prism 1995 - ABS #16213899" },
   new SearchResult { Description = "Wie man BBA reman erreicht" },
   new SearchResult { Description = "this test JCB" },
   new SearchResult { Description = "Ersatz Airbags, Gurtstrammer und Auto Körper Teile" }            
   };

   var wordsToFind = "Geo JCB".Split();
   var values = list.Select(x => new { SearchResult = x, Count = x.Description.Split(' ')
                                             .Where(c => wordsToFind .Contains(c)).Count() })
                    .OrderByDescending(x => x.Count)
                    .Select(x => x.SearchResult);
var results = db.Blogs.AsEnumerable()
    .Select(sr => new
    {
        Searchresult = sr,
        Words = Regex.Split(sr.Name, @"[^\S\r\n {1,}").Union(Regex.Split(sr.Name2, @"[^\S\r\n]{1,}"))
    })
    .OrderByDescending(x => x.Words.Count(w => {
        foreach (var item in searchTerms)
        {
            if(w.ToLower().Contains(item))
            {
                return true;
            }
        }
        return false;
    }))
    .Select(x => x.Searchresult);

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