I want implement searching with ability to set so-called a confidence level below which I would treat documents as garbage. I cannot defile the level per query as the level should be relevant for all documents.
With current scoring implementation the level would mean nothing. I don't believe that since that time (the thread is of 2005year) nothing has been made towards the resolving the issue. Do you think any workarounds like implementing more sophisticated queries so that we have approximately the same normalization values? Alex -----Original Message----- From: Grant Ingersoll <[EMAIL PROTECTED]> To: java-dev@lucene.apache.org Date: Thu, 7 Aug 2008 10:20:10 -0400 Subject: Re: lucene scoring My understanding is this is an area of research in Info. Retrieval in general. There is some attempt at this with the query normalization factor in the scoring model, but my understanding is one shouldn't rely on it. You might try searching Google scholar (or MSN Academic Live, which I prefer :-) ). I think Hoss's response in that thread you link, however, is right on. The scores for Lucene are only meant for comparison within the given search result. I would even go so far as to say the scores may not be comparable for the same query done at different times, unless absolutely nothing has changed in the index. My question back is what are you trying to do that you think you need it? On Aug 7, 2008, at 2:10 AM, Александр Аристов wrote: > Hi people > > What is the best way to implement scoring so that it become possible > to compare scores obtained from different queries. Full problem > description is here (clear and short) > http://thread.gmane.org/gmane.comp.jakarta.lucene.user/10760/focus=10810 > > I know about possible usage of TopFieldDocCollector or disabling the > Hits class but how will we normalize the results? > > thanks > > Александр > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [EMAIL PROTECTED] > For additional commands, e-mail: [EMAIL PROTECTED] > --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED] --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
