Hi - easiest approach is to use KeywordRepeatFilter and RemoveDuplicatesTokenFilter. This creates a slightly higher IDF for unstemmed words which might be just enough in your case. We found it not to be enough, so we also attach payloads to signify stemmed words amongst others. This allows you to decrease score for stemmed words at query time via your similarity impl.
M. -----Original message----- > From:bbarani <bbar...@gmail.com> > Sent: Wednesday 18th November 2015 22:07 > To: solr-user@lucene.apache.org > Subject: Boost non stemmed keywords (KStem filter) > > Hi, > > I am using KStem factory for stemming. This stemmer converts 'france to > french', 'chinese to china' etc.. I am good with this stemming but I am > trying to boost the results that contain the original term compared to the > stemmed terms. Is this possible? > > Thanks, > Learner > > > > > -- > View this message in context: > http://lucene.472066.n3.nabble.com/Boost-non-stemmed-keywords-KStem-filter-tp4240880.html > Sent from the Solr - User mailing list archive at Nabble.com. >
