Hello, In my scenario I want to categorize document fields by field types and treat each field type differently in the meaning of score calculation. To be more specific, I want to categorize the fields to important fields and less-important fields, my query will contain both important fields and less-important ones but I want to boost those documents containing high coverage of important fields. In addition, for important fields I want to provide special idf function. Obviously I'll boost an important fields with the boost factor, but I'm wondering if I could also rewrite Similarity.coord and Similarity.idf to better reflect my situation. Unfortunately, I don't see how just implementing custom Similarity would help as there is no relevant information about field there. Is there any other approach I could use? Is it possible to have 2 similarities (both for indexing and searching) so I'll split my search to first search in important fields and then search in less important fields and combine the results?
Thanks in advance, Maxim -- View this message in context: http://old.nabble.com/Different-similarity-for-different-types-of-fields-tp26863215p26863215.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
