CienCe> 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, (http://www.dCs.gla.aC.uk/Keith/Chapter.5/Ch.5.html)}]. (1999-08-28)
