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.
Using the weighted search, the relative importance of the words can be ranked by assigning a numeric value.

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