Hi Mitch,
thanks for the answer and the link.
The use case is to provide content based recommendations for a single
item no matter where that came from. So, this input (match) item is the
best match, all more like this items compare to it, and the ones that
are the most alike would have the
Hi Chantal,
Munich? Germany seems to be soo small :-).
Chantal Ackermann wrote:
I only want a way to show to the
user a kind of relevancy or similarity indicator (for example using a
range of 10 stars) that would give a hint on how similar the mlt hit is
to the input (match) item.
Hi there,
consider the following response extract for a MoreLikeThis request:
result name=match numFound=1 start=0 maxScore=13.4579935
result name=response numFound=103708 start=0
maxScore=4.1711807
The first result element is the document that was input and for which to
return more like this
To: solr-user@lucene.apache.org solr-user@lucene.apache.org
Sent: Thu, June 24, 2010 10:17:57 AM
Subject: MoreLikeThis (mlt) : use the match's maxScore for result score
normalization
Hi there,
consider the following response extract for a MoreLikeThis
request:
result name=match
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
