Hi Erick
On Fri, Apr 20, 2012 at 5:14 PM, Erick Erickson wrote:
> Maybe I'm missing something here, but why not just boost the
> terms in the fields at query time?
>
Yes I can boost the fields in the query time. But I'm using the
termFreqVector get term frequencies and then calculate the TFIDF v
Hi Dawn,
Can you give an example of a "partial match"?
Steve
-Original Message-
From: Dawn Zoë Raison [mailto:d...@digitorial.co.uk]
Sent: Friday, April 20, 2012 7:59 AM
To: java-user@lucene.apache.org
Subject: Highlighter and Shingles...
Hi,
Are there any notes on making the highligh
Hi,
Are there any notes on making the highlighter work consistently with a
shingle generated index?
I have a situation where complete matches highlight OK, but partial
matches do not - leading to a number of blank previews...
Our analyser look like:
TokenStream result =
Maybe I'm missing something here, but why not just boost the
terms in the fields at query time?
Best
Erick
On Fri, Apr 20, 2012 at 4:20 AM, Kasun Perera wrote:
> I have documents that are marked up with Taxonomy and Ontology terms
> separately.
> When I calculate the document similarity, I want
Uwe and Robert,
Thanks. David and I are two peas in one pod here at Basis.
--benson
On Fri, Apr 20, 2012 at 2:33 AM, Uwe Schindler wrote:
> Hi,
>
> Ah sorry, I misunderstood, you wanted to score the duplicate match lower! To
> achieve this, you have to change the coord function in your
> simila
Am 18.04.2012 20:06, schrieb Uwe Schindler:
Hi,
> You should inform yourself about the difference between "stored" and
> "indexed" fields: The tokens in the ".tis" file are in fact the analyzed
> tokens retrieved from the TokenStream. This is controlled by the Field
> parameter Field.Index. The F
I have documents that are marked up with Taxonomy and Ontology terms
separately.
When I calculate the document similarity, I want to give higher weights to
those Taxonomy terms and Ontology terms.
When I index the document, I have defined the Document content, Taxonomy
and Ontology terms as Field
