AxiomaticF3LOG

class AxiomaticF3LOG(s: Float, queryLen: Int) : Axiomatic

F3EXP is defined as Sum(tf(term_doc_freq)*IDF(term)-gamma(docLen, queryLen)) where IDF(t) = ln((N+1)/df(t)) N=total num of docs, df=doc freq gamma(docLen, queryLen) = (docLen-queryLen)queryLens/avdl NOTE: the gamma function of this similarity creates negative scores

Constructors

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constructor(s: Float, queryLen: Int)

Properties

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True if overlap tokens (tokens with a position of increment of zero) are discounted from the document's length.

Functions

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Computes the normalization value for a field at index-time.

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open override fun scorer(boost: Float, collectionStats: CollectionStatistics, vararg termStats: TermStatistics): Similarity.SimScorer

Compute any collection-level weight (e.g. IDF, average document length, etc) needed for scoring a query.

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open override fun toString(): String

Name of the axiomatic method.