Examples of org.apache.lucene.search.similarities.LMJelinekMercerSimilarity

org.apache.lucene.search.similarities.LMJelinekMercerSimilarity

Language model based on the Jelinek-Mercer smoothing method. From Chengxiang Zhai and John Lafferty. 2001. A study of smoothing methods for language models applied to Ad Hoc information retrieval. In Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '01). ACM, New York, NY, USA, 334-342.

The model has a single parameter, λ. According to said paper, the optimal value depends on both the collection and the query. The optimal value is around {@code 0.1} for title queries and {@code 0.7} for long queries.

@lucene.experimental


    @Inject
    public LMJelinekMercerSimilarityProvider(@Assisted String name, @Assisted Settings settings) {
        super(name);
        float lambda = settings.getAsFloat("lambda", 0.1f);
        this.similarity = new LMJelinekMercerSimilarity(lambda);
    }

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