Class BooleanSimilarity


  • public class BooleanSimilarity
    extends Similarity
    Simple similarity that gives terms a score that is equal to their query boost. This similarity is typically used with disabled norms since neither document statistics nor index statistics are used for scoring. That said, if norms are enabled, they will be computed the same way as SimilarityBase and BM25Similarity with discounted overlaps so that the Similarity can be changed after the index has been created.
    • Constructor Detail

      • BooleanSimilarity

        public BooleanSimilarity()
        Sole constructor
    • Method Detail

      • scorer

        public Similarity.SimScorer scorer​(float boost,
                                           CollectionStatistics collectionStats,
                                           TermStatistics... termStats)
        Description copied from class: Similarity
        Compute any collection-level weight (e.g. IDF, average document length, etc) needed for scoring a query.
        Specified by:
        scorer in class Similarity
        Parameters:
        boost - a multiplicative factor to apply to the produces scores
        collectionStats - collection-level statistics, such as the number of tokens in the collection.
        termStats - term-level statistics, such as the document frequency of a term across the collection.
        Returns:
        SimWeight object with the information this Similarity needs to score a query.