Lucene uses TFIDFSimilarity class to calculate the similarity.
It is implemented on the idea of cosine measurement but it modifies the cosine
formula.
Please take a look at "Lucene Practical Scoring Function" in the following
Javadoc:
http://lucene.apache.org/core/4_10_3/core/org/apache/lucene/search/similarities/TFIDFSimilarity.html
Koji
--
http://soleami.com/blog/comparing-document-classification-functions-of-lucene-and-mahout.html
On 2015/02/03 5:39, Ali Nazemian wrote:
Dear Erik,
Thank you for your response. Would younplease tell me why this score could
be higher than 1? While cosine similarity can not be higher than 1.
On Feb 2, 2015 7:32 PM, "Erik Hatcher" <erik.hatc...@gmail.com> wrote:
The scoring is the same as Lucene. To get deeper insight into how a score
is computed, use Solr’s debug=true mode to see the explain details in the
response.
Erik
On Feb 2, 2015, at 10:49 AM, Ali Nazemian <alinazem...@gmail.com> wrote:
Hi,
I was wondering what is the range of score is brought by more like this
query in Solr? I know that the Lucene uses cosine similarity in vector
space model for calculating similarity between two documents. I also know
that cosine similarity is between -1 and 1 but the fact that I dont
understand is why the score which is brought by more like this query
could
be "12" for example?! Would you please explain what is the calculation
process is Solr?
Thank you very much.
Best regards.
--
A.Nazemian
