On Tuesday 23 September 2003 00:12, Chris Hennen wrote: > Hi, > > what is the purpose of "tf_q * idf_t / norm_q" in Lucene's scoring > algorithm: > score_d = sum_t( tf_q * idf_t / norm_q * tf_d * idf_t / norm_d_t) > > I dont understand, why the score has to be higher, when the frequency of a > term in the query is higher. What is normalized by "norm_q"?
To give the user the possibility to assign a higher weight to a term in a query, (by using a term weight or by repeating the term). The norm_q compensates the total score for the query weights, leaving the scores of two different queries somewhat comparable. Kind regards, Ype --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
