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Statistics for the terms

Hits in the document

Document Properties and Statistics

Ranking Features

Explanation of the variables

N	Total number of documents in the collection
n	Document Frequency - number of documents containing the term
BM25 Weight	log10(N/n) - this is the global okapi weight for the term
Weighted TF	Weighted sum of term frequencies in each property for the given term
TF Normalized	Term frequency normalized by length WTF/((1-b)+b*dl)/avdl
term Factor	Term frequency squashed tfw/(k1+tfw)
Term Score	BM25 score of the term, this includes only query dependent components
Original TF	Term frequency before weighting is applied - number of times the term occurs in the property
Length	Number of terms in the property
Doc Length	Number of terms in the document across all properties
AVDL	Average number of terms in the property
Doc AVDL	Average number of terms in the document
DL/AVDL	Ratio between DL and AVDL
DL Factor	Factor used to normalize TF - (1-b)+b(dl/avdl)
Click Distance	Shortest path in the web graph from the central authority to this URL
URL Depth	Number of slashes in the URL