I tried to play a little with the tools you suggested. However, I probably
miss something because the term frequency is not that expected.
My itemid field is defined (in schema.xml) as:
I was supposing that indexing via post.sh the xml mentioned in the first
mail, the term frequency of itemid 1
I mentioned two features, [explain] and termfreq(field, 'value').
Neither of these require anything special, as they are using stuff
central to Lucene's scoring mechanisms. I think you can turn off the
storage of term frequencies, obviously that would spoil things, but
that's certainly not on my de
So, in order to achieve that feature I have to declare my fileds (authorid
and itemid) with termVectors="true" termPositions="true"
termOffsets="false"?
Should it be enough?
On Wed, Jun 26, 2013 at 10:42 AM, Upayavira wrote:
> Add fl=[explain],* to your query, and review the output in the new
>
Add fl=[explain],* to your query, and review the output in the new
field. It will tell you how the score was calculated. Look at the TF or
termfreq values, as this is the number of times the term appears.
Also, you could add this to your fl= param: count:termfreq(authorid,
'1000’) which would give
Hi to everybody,
I have some multiValued (single-token) field, for example authorid and
itemid, and what I'd like to know if there's the possibility to know how
many times a match was found in that document for some field and if the
score is higher when multiple match are found. For example, my doc
