Chantal, have a look at http://lucene.apache.org/java/3_0_1/api/all/org/apache/lucene/search/similar/MoreLikeThis.html More like this to have a guess what the MLT's score concerns.
The problem is that you can't compare scores. The query for the "normal" result-response was maybe something like "Bill Gates featuring Linus Torvald - The perfect OS song". The user picks now one of the responsed documents and says he wants "More like this" - maybe, because the concerned topic was okay, but the content was not enough or whatever... But the sent query is totaly different (as you can see in the link) - so that would be like comparing apples and oranges, since they do not use the same base. What would be the use case? Why is score-normalization needed? Kind regards from Germany, - Mitch -- View this message in context: http://lucene.472066.n3.nabble.com/MoreLikeThis-mlt-use-the-match-s-maxScore-for-result-score-normalization-tp919598p919716.html Sent from the Solr - User mailing list archive at Nabble.com.
