I'm actually not using Java, I'm using the .NET port of Lucene, Lucene.Net. However, there are no forums and barely any support for the .NET port of Lucene. The framework and functionality is the same. The same properties, methods and everything. I'll look into the Similarity.sloppyFreq, but at first glance I'm not sure this is what I'm looking for.
Maybe there is a better way for me to merge the two searches without getting 100% fuzzy matches sitting next to 100% basic search matches? This is essentially what I want to do. I want to show fuzzy matches but the fuzzy matched scores should be normalized based on the basic searches so the relevancy of all results (no matter which search they came from) are in a order. Hope this helps provide some insight into my issues. hossman wrote: > > this sounds like a question more applicable to the java-user mailing list > That is: assume you are using the Lucene Java API in your application. > if you asking about doing Fuzzy queries when using Nutch, or Solr the > basic info is still the same: asking your question on the appropriate user > list will reach a larger community of people with more specific info about > the context of your question. > > Assuming you are using the Java API, then the Similarity.sloppyFreq method > is probably where you want to start looking. > > > -Hoss > > > -- View this message in context: http://www.nabble.com/Limiting-a-document%27s-score--tp14903523p15033640.html Sent from the Lucene - General mailing list archive at Nabble.com.
