Hi Modassar,
It usually helps if you analyze extreme case: e.g. fl:a*
What terms should be better match? Those who are shorter or all should
be equally good?
What should be top document? Assuming standard TF/IDF scoring is used,
that would be one with the most terms that start with 'a' especially
those that are not frequent in corpus. Calculating that could be
expensive and irrelevant in most cases so constant score makes sense.
Thanks,
Emir
On 06.01.2016 12:07, Modassar Ather wrote:
Please help me understand why queries like wildcard, prefix and few others
are re-written into constant score query?
Why the scoring factors are not taken into consideration in such queries?
Please correct me if I am wrong that this behavior is per the query type
irrespective of the parser used.
Thanks,
Modassar
On Wed, Jan 6, 2016 at 12:56 PM, Modassar Ather <modather1...@gmail.com>
wrote:
Thanks for your response Ahmet.
Best,
Modassar
On Mon, Jan 4, 2016 at 5:07 PM, Ahmet Arslan <iori...@yahoo.com.invalid>
wrote:
Hi,
I think wildcard queries fl:networ* are re-written into Constant Score
Query.
fl=*,score should returns same score for all documents that are retrieved.
Ahmet
On Monday, January 4, 2016 12:22 PM, Modassar Ather <
modather1...@gmail.com> wrote:
Hi,
Kindly help me understand how will relevance ranking differ int following
searches.
query : fl:network
query : fl:networ*
What I am observing that the results returned are different in both of
them
in a way that the top documents returned for q=fl:network is not present
in
the top results of q=fl:networ*.
For example for q=fl:network I am getting top documents having around 20
occurrence of network whereas the top result of q=fl:networ* has only
couple of occurrence of network.
I am aware of the underlying normalization process participation in
relevance ranking of documents but not able to understand such a
difference
in the ranking of result for the queries.
Thanks,
Modassar
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