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 <[email protected]> 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
>>
>>
>>
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