Hi David, It seems that MultiSearcher is deprecated in favor of MultiReader. Have a look here <https://issues.apache.org/jira/browse/LUCENE-2756> .
Regarding the meta search approach, you can normalize raw scores of documents. There are many ways to do that. Just search for "normalization scores in meta search". The key here is the nature of your collections. If they contain the same type of documents, then you can fuse them with different aggregation methods. If raw score is the issue, you can normalize or use sum of reciprocal ranks, Borda Count or even a simple count. If the documents are not the same type, then you try round robin. My concern is not combining the search results, but rather maintaining good relevant documents at the top of the merged result. I have a master degree in Information retrieval, where I studied meta search and distributed search for almost three years. However, probably the simple workarounds suggested above might do the job. -- View this message in context: http://lucene.472066.n3.nabble.com/How-to-properly-correlate-relevance-in-a-search-across-multiple-collections-tp4157240p4157555.html Sent from the Lucene - Java Users mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
