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Scoring, term weighting and the vector space model
Dávid László
Introduction
Boolean queries -> big number of documents
Parametric zone indexes
Weighting
Vector space scoring
Variants of term weighting
parametric and zone indexes
Metadata
Fields - parametric indexes
Zones
Weighted zone scoring
Learning weights
The optimal weight g
Term frequency and weighting
Term frequency
Document frequency
Inverse document frequency
Tf-idf weighting
The vector space model for scoring
Dot products
Cosine similarity
Magnitude of the angle theta
Queries as vectors
Computing vector scores
Variant tf-idf functions
Sublinear tf scaling
Maximum tf normalization
Document and query weighting schemes
Pivoted normalized document length
Scoring, term weighting
By David Laci
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Scoring, term weighting
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David Laci
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