I understand this:
> So what I need is to have a "generalization" of the user agent in my
> index
So that we may end up with 5 - 10 different tokens. It has to be hard-coded,
for instance, via synonym dictionary or something similar (it is very easy in
SOLR). WAP, HTML, and etc. Most importan
Hi Niclas,
"generalization" of the user agent "without including the versions numbers"...
How will you separate Mozilla/5.0 (Browser) from Mozilla/5.0 (Googlebot)?
And, going to the root of a problem... why do you use SOLR such a way? Is it
search service showing different content depending on
>
>
> I *think* you can get what you want using SpanNotQuery - something like the
> following, using your "Microsoft Windows" example:
>
> SpanNot:
>include:
>SpanNear(in-order=true, slop=0):
>SpanTerm: "Microsoft"
>SpanTerm: "Windows"
>exclude:
>Span
http://en.wikipedia.org/wiki/Crossposting
-Original Message-
From: Niclas Rothman [mailto:n...@lechill.com]
Sent: Saturday, February 06, 2010 12:12 AM
To: gene...@lucene.apache.org
Cc: java-user@lucene.apache.org
Subject: RE: Wildcard searches
Hi Fuad and thanks for your reply!
The
Hi Max,
On 02/05/2010 at 10:18 AM, Grant Ingersoll wrote:
> On Feb 3, 2010, at 8:57 PM, Max Lynch wrote:
> > Hi, I would like to do a search for "Microsoft Windows" as a span, but
> > not match if words before or after "Microsoft Windows" are upper cased.
> >
> > For example, I want this to match
Niclas,
I looked at your initial post, you are creating document with field "abc*"
- nothing related to "wildcard query"!
Of course, query [useragents:abcdefghijklm] will return no results, and
[q=useragents:abc] no results, but [q=useragents:abc*] will return something.
text_nav is specific SO
On Feb 3, 2010, at 8:57 PM, Max Lynch wrote:
> Hi,
> I would like to do a search for "Microsoft Windows" as a span, but not match
> if words before or after "Microsoft Windows" are upper cased.
>
> For example, I want this to match: another crash for Microsoft Windows today
> But not this: anoth
crossposting to the user list as I think this issue belongs there. See
my comments inline
On Fri, Feb 5, 2010 at 10:27 AM, lionel duboeuf
wrote:
> Hi,
>
> Sorry for asking again, **I still have not found a scalable solution to get
> the document frequency of a term t according a set of documents.
