: Essentially what I am trying to do is boost every document by a certain : factor, so that : the boost is between 1.0 and 2.0. After this, I we are trying to do a search : across multiple fields : and have a computation based purely on tf. Example -
it sounds like you are trying to place too much stock in the precise score values you get back from a query. if it's really important to you i would suggest playing with the boost values you use and your tf/idf functions so they work with the current boost/norm encoding instead of tyring to change how the norms are encoded. that way you won't have to worry baout havking the static encoding funcs in Similarity. -Hoss --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]