2016-05-15 85 views
1

我正在研究索引中索引和搜索推文的系统,每个推文都有一个定义其社会重要性(社会价值)的字段,我想将此值添加到相似性分数中,这样我就可以通过将他们的社交价值和他们的分数结合到查询中来排列文档。Lucene评分函数

例如,我的打分函数会像

Final Score = QueryScore + Social score (which is a float that I already calculated) 

所以,我怎么能做到这一点?

我使用Lucene-5.5.0

package Lucene; 


import java.nio.file.Path; 
import java.nio.file.Paths; 
import org.apache.lucene.analysis.standard.StandardAnalyzer; 
import org.apache.lucene.document.Document; 
import org.apache.lucene.index.DirectoryReader; 
import org.apache.lucene.search.IndexSearcher; 
import org.apache.lucene.search.Query; 
import org.apache.lucene.queryparser.classic.QueryParser; 
import org.apache.lucene.search.ScoreDoc; 
import org.apache.lucene.store.Directory; 
import org.apache.lucene.store.FSDirectory; 

public class SearchFiles { 

    @SuppressWarnings("deprecation") 
    public static void main(String[] args){ 
     try{ 

      Path path = Paths.get("C:\\Users\\JUGURTHA\\Desktop\\boulot\\index"); 
      Directory dir = FSDirectory.open(path); 
      DirectoryReader ireader = DirectoryReader.open(dir); 
      IndexSearcher isearcher = new IndexSearcher(ireader); 
      StandardAnalyzer analyzer = new StandardAnalyzer(); 
      //get each token    
      QueryParser parser = new QueryParser("text", analyzer); 
      Query query = parser.parse("Love"); 
      ScoreDoc[] hits = isearcher.search(query, null, 20).scoreDocs; 
      for (int i = 0; i < hits.length; i++){ 
       Document hitDoc = isearcher.doc(hits[i].doc); 
       System.out.println("Tweet " + i + " : " + hitDoc.get("text")); 
       System.out.println("created_at: " + hitDoc.get("date")); 
       System.out.println("id: " + hitDoc.get("id")); 
       System.out.println(); 
       System.out.println(); 

      } 


     } catch(Exception e){ 
      e.printStackTrace(); 
     } 
    } 
} 
+0

我已经结果解决了这个问题,我使用了类CustomScoreProvider –

回答

0

我想通了如何完成工作,我用的是类CustomScoreProvider,并得到了我想要

class CustomizedScoreProvider extends CustomScoreProvider { 

    public CustomizedScoreProvider(LeafReaderContext reader) { 
      super(reader); 
      // TODO Auto-generated constructor stub 
     } 

    public float customScore(int doc, float subQueryScore,float valSrcScores[]){ 

    try { 

     subQueryScore+=4; // I only added this for testing , 
    } catch(Exception e) { 
     e.printStackTrace(); 
      } 
    return subQueryScore; 
      } 
    } 

class CustomizedScoreQuery extends CustomScoreQuery{ 


public CustomizedScoreQuery(Query subQuery,IndexReader ireader) { 
     super(subQuery); 
     // TODO Auto-generated constructor stub 
    } 
public CustomizedScoreProvider getCustomScoreProvider (LeafReaderContext reader){ 
    CustomizedScoreProvider i=new CustomizedScoreProvider(reader); 
    return (i); 
} 
}