Hi all,
Seeking some best practice advice, or even if there is an alternative
solution. Sorry for the email length, just trying to explain
succinctly.
Currently we add fields to our index like this (for reference, Field
booleans are STORE, INDEX, TOKENISE):
doc.add(new Field(field, value,
as one field and
score the document accordingly without having to reindex.
You could change the coord() factor of Similarity in a custom
implementation - that might do what you want with scoring.
But I prefer having a single queryable field that aggregates everything
I want searchable, which would
I have an index with multiple fields. Right now I am using MultiFieldQueryParser to
search the fields. This means that if the same term occurs in multiple fields, it will
be weighed accordingly. Is there any way to treat all the fields in question as one
field and score the document accordingly
I have an index with data about images (those data are obtained from database). In
Document among other fields I have one field that I use for sorting. That field could
take 10 different values (1 to 10). I set boost for that field like following:
viewPriority:1^10
viewPriority:2^9
, why use Lucene? Why not just display the results to the user
in your hand picked order?
-Original Message-
From: Dragan Jotanovic [mailto:[EMAIL PROTECTED]
Sent: Friday, October 31, 2003 8:48 AM
To: [EMAIL PROTECTED]
Subject: Seting boost fsactor for keywords in one field
I have an index
I do have one question. If you know the order of documents to be
retrieved, why use Lucene? Why not just display the results to the user
in your hand picked order?
I need a very fast search engine because I am working with thousends of
images. Lucine is providing me with that.
Does somebody know
Users List
Subject: Re: Seting boost fsactor for keywords in one field
I do have one question. If you know the order of documents to be
retrieved, why use Lucene? Why not just display the results to the
user
in your hand picked order?
I need a very fast search engine because I am working
