o me, terms that appear in
>> all documents aren't really that interesting. I'm thinking of using a
>> combination of document count (in the result set, not globally) and term
>> frequency (in the result set, not globally) to come up with a facet sort
>> order.
>&g
sort
> order.
>
> Wojtek
> --
> View this message in context:
> http://www.nabble.com/Facets-with-an-IDF-concept-tp24071160p24959192.html
> Sent from the Solr - User mailing list archive at Nabble.com.
>
>
--
Asif Rahman
Lead Engineer - NewsCred
a...@newscred.com
http://platform.newscred.com
) to come up with a facet sort
order.
Wojtek
--
View this message in context:
http://www.nabble.com/Facets-with-an-IDF-concept-tp24071160p24959192.html
Sent from the Solr - User mailing list archive at Nabble.com.
On Jun 23, 2009, at 6:23 PM, Chris Hostetter wrote:
: Regardless of the semantics, it doesn't sound like DF would give
you what you
: want. It could be entirely possible that in some short timespan
the number of
: docs on Iran could match up w/ the number on Obama (maybe not for
that
:
lr - Nutch
- Original Message
> From: Asif Rahman
> To: solr-user@lucene.apache.org
> Sent: Tuesday, June 23, 2009 8:05:48 AM
> Subject: Re: Facets with an IDF concept
>
> Hi Grant,
>
> I'll give a real life example of the problem that we are trying to solve.
>
: Regardless of the semantics, it doesn't sound like DF would give you what you
: want. It could be entirely possible that in some short timespan the number of
: docs on Iran could match up w/ the number on Obama (maybe not for that
: particular example) in which case your "hot" item would no lon
On Jun 23, 2009, at 8:05 AM, Asif Rahman wrote:
Hi Grant,
I'll give a real life example of the problem that we are trying to
solve.
We index a large number of current news articles on a continuing
basis. We
tag these articles with news topics (e.g. Barack Obama, Iran,
etc.). We
then
Asif Rahman wrote:
Hi Grant,
I'll give a real life example of the problem that we are trying to solve.
We index a large number of current news articles on a continuing basis. We
tag these articles with news topics (e.g. Barack Obama, Iran, etc.). We
then use these tags to facet our queries.
Hi Grant,
I'll give a real life example of the problem that we are trying to solve.
We index a large number of current news articles on a continuing basis. We
tag these articles with news topics (e.g. Barack Obama, Iran, etc.). We
then use these tags to facet our queries. For example, we might
Hi Kent,
Your problem is close cousin of the problem that we're tackling. We have
experience the same problem as you when calculating facets on MoreLikeThis
queries, since those queries tend to match a lot of documents. We used one
of the solutions that you mentioned, rank cutoff, to solve it.
On Jun 23, 2009, at 3:58 AM, Asif Rahman wrote:
Hi again,
I guess nobody has used facets in the way I described below before.
Do any
of the experts have any ideas as to how to do this efficiently and
correctly? Any thoughts would be greatly appreciated.
Thanks,
Asif
On Wed, Jun 17, 200
Hi Asif,
I was holding back because we have a similar problem, but we're not
sure how best to approach it, or even whether approaching it at all is
the right thing to do.
Background:
- large index (~35m documents)
- about 120k on these include full text book contents plus metadata,
the rest are j
Hi again,
I guess nobody has used facets in the way I described below before. Do any
of the experts have any ideas as to how to do this efficiently and
correctly? Any thoughts would be greatly appreciated.
Thanks,
Asif
On Wed, Jun 17, 2009 at 12:42 PM, Asif Rahman wrote:
> Hi all,
>
> We ha
Hi all,
We have an index of news articles that are tagged with news topics.
Currently, we use solr facets to see which topics are popular for a given
query or time period. I'd like to apply the concept of IDF to the facet
counts so as to penalize the topics that occur broadly through our index.
I
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