Hi list, I have been searching about score normalization few days (now i know this can't be done) in Lucene using this list, wiki, blogposts, etc. I'm going to expose my problem because I'm not sure that score normalization is what our project need.
*Background*: In our project, we are using Solr on top of Lucene with custom RequestHandlers and SearchComponents. For a given query, we need to detect when a query got poor results to trigger different actions. *Assumptions*: Inmutable index (once indexed, it is not updated) and Same query tipology (dismax qparser with same field boosting, without boost functions nor boost queries). *Problem*: We know that score normalization is not implementable. But is there any way to determine (using TF/IDF and boost field assumptions) when search results match quality are poor? *Example: *We've got an index with science papers and other one with medcare centre's info. When a user query against first index and got poor results (inferring it from score?), we want to query second index and merge results using some threshold (score threshold?) Thanks in advance -- Un saludo, Samuel García.
