weighted search

weighted search

(information science)
A search based on frequencies of the search terms in the documents being searched. Weighted search is often used by search engines. It produces a numerical score for each possible document. A document's score depends on the frequency of each search term in that document compared with the overall frequency of that term in the entire corpus of documents. A common approach is called tf.idf which stands for term frequency * inverse document frequency. Term frequency means "the more often a term occurs in a document, the more important it is in describing that document." http://ciir.cs.umass.edu/cmpsci646/ir4/tsld034.htm Inverse document frequency means the more documents a term appears in, the less important the term is.

A simple weighted search is just a list of search terms, for example: car automobile

Weighted search is often contrasted with boolean search. It is possible to have a search that syntactically is a boolean search but which also does a weighted search.

See also query expansion.

For a detailed technical discussion see Chapter 5, "Search Strategies", in the reference below.

["Information Retrieval", C. J. van Rijsbergen,].
This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)
References in periodicals archive ?
For example, RecExp individuals have a weighted search propensity of .408 and RecNotExp individuals have a comparable value of .597, for a difference of .189 between the two groups.
DejaNews searches Usenet/newsgroups and finds the topic you are interested in by a weighted search criteria that sorts information based on the number of occurrences of the word you have entered.

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