Patrick if the question is about the code snippert at the page you mention, which I copy below, I believe the answer is no and the author is aware of it since he is adding a comment about not-normalized in the second example.
ScoreDocs and TopDocs are not returning normalized scores.
Normalized scores tend to be rare in Lucene nowadays, I believe earlier strategy was to divide by max-score when the latter was bigger than 1.
paul
IndexSearcher searcher = new IndexSearcher("IndexPath");
//Load average length
BM25Parameters.load(avgLengthPath);
BM25BooleanQuery query = new BM25BooleanQuery("This is my Query",
"Search-Field",
new StandardAnalyzer());
TopDocs top = searcher.search(query, null, 10);
ScoreDoc[] docs = top.scoreDocs;
//Print results
for (int i = 0; i $<$ top.scoreDocs.length; i++) {
System.out.println(docs[i].doc + ":"+docs[i].score);
}
Le 29 avr. 2011 à 13:20, Patrick Diviacco a écrit :
Can anybody provide me some information about it ? Even a small clue, I'm
kinda stuck on this and the owner of the libraries do not answer emails.
Thanks
On 28 April 2011 13:49, Patrick Diviacco wrote:
Is Okapi BM25 (its implementation in Lucene:
nlp.uned.es/~jperezi/Lucene-BM25) returning back normalized query scores
(in between 0 and 1) ?
According to Okapi formula the final score should be normalized. Could you
give some information about that ?
thanks
---------------------------------------------------------------------
To unsubscribe, e-mail: java-user-unsubscribe@lucene.apache.org
For additional commands, e-mail: java-user-help@lucene.apache.org