SimilarityLevel Leave feedback

Inheritance: java.lang.Object, com.groupdocs.search.options.FuzzyAlgorithm

public class SimilarityLevel extends FuzzyAlgorithm

Represents an algorithm of the fuzzy search that specifies the similarity level. The similarity level algorithm calculates the maximum number of mistakes for a word as inversely proportional to the word length.

Learn more

• Fuzzy search

The example demonstrates a typical usage of the class.

 ```

 String indexFolder = "c:\\MyIndex\\";
 String documentsFolder = "c:\\MyDocuments\\";
 String query = "Einstein";
 Index index = new Index(indexFolder); // Creating an index in the specified folder
 index.add(documentsFolder); // Indexing documents from the specified folder
 SearchOptions options = new SearchOptions();
 options.getFuzzySearch().setEnabled(true); // Enabling the fuzzy search
 options.getFuzzySearch().setFuzzyAlgorithm(new SimilarityLevel(0.8)); // Creating the fuzzy search algorithm
 // This function specifies 0 as the maximum number of mistakes for words from 1 to 4 characters.
 // It specifies 1 as the maximum number of mistakes for words from 5 to 9 characters.
 // It specifies 2 as the maximum number of mistakes for words from 10 to 14 characters. And so on.
 SearchResult result = index.search(query, options); // Search in index
 
```
 

public SimilarityLevel(double value)

Initializes a new instance of the SimilarityLevel class.

Parameters:

public SimilarityLevel(Object data)

Initializes a new instance of the SimilarityLevel class.

Parameters:

public double getSimilarityLevel(int termLength)

Gets the similarity level value for the specified term length.

Parameters:

Returns: double - The similarity level value.

public int getMaxMistakeCount(int termLength)

Gets the maximum allowed number of mistakes for the specified term length.

Parameters:

Returns: int - The maximum allowed number of mistakes.