Nate,
will there always be a correspodning mp3 for any given note sheet?
As for analysis, I'd try using ngrams of the complete untokenized file
name if I was you.
"Michael Jackson Don't Stop 'till You Get Enough" ->
"^mic", "mich", "icha", "chae", "hael", "ael ", "el j", "l ja", and so
on.
See
http://lucene.apache.org/java/2_4_1/api/org/apache/lucene/analysis/ngram/package-summary.html
karl
7 maj 2009 kl. 08.28 skrev Nate:
Thanks Anshum.
What happens if a search returns only one match, and that match is not
very "good"? If scores are only comparable to the scores of other
matches in the same search, then the score is effectively meaningless
if there is only one match.
It seems like a very common need to want to provide a "relevance"
metric along with search results. I somewhat understand the
complexities after reading this thread and the threads it links...
http://www.gossamer-threads.com/lists/lucene/java-user/75002
My case is slightly better since I don't care to show users the
metric. My queries are simple term and boolean queries.
This thread talks about "theoretical maximum score" but quickly loses
me. Does this seem like the road to go down, given my needs?
http://www.gossamer-threads.com/lists/lucene/java-user/61075#61075
Say I do a search like:
Michael Jackson Don't stop until you get enough
And this is the top match:
Michael Jackson Don't Stop 'till You Get Enough
Would it make any sense to do a query with the exact contents of the
top match to get a maximum score for that document? Would the
resulting percentage be meaningful?
-Nate
On Wed, May 6, 2009 at 10:08 PM, Anshum <ansh...@gmail.com> wrote:
Hi Nate,
The scores are only comparable within the same search and not over
different
searches as the scores are affected by query as well as docs.
About the threshold, I guess you could have count cutoff to get 'x'
best
matches. Said so coz I'm not really able to recollect anything
which could
use score as a metric to absolutely cluster 'good' and 'not good'
matches.
--
Anshum Gupta
Naukri Labs!
http://ai-cafe.blogspot.com
The facts expressed here belong to everybody, the opinions to me. The
distinction is yours to draw............
On Thu, May 7, 2009 at 6:27 AM, Nate <n...@n4te.com> wrote:
Hi all,
First, the problem I'm trying to solve: I have two folders, each
containing files. I need to match files in one folder with files in
the other. Eg:
notes/Michael Jackson - Don't Stop 'till You Get Enough.notes
songs/Michael Jackson Don't stop until you get enough.mp3
I provide the notes files, but the song files come from a user's
music
library, so often are not named well. I am attempting to use
Lucene to
find the most likely note file for each song file.
I index the note files, then I use the StandardAnalyzer with
carefully
chosen stop words to search the index. The query uses each word in
the
song file name (w/o extension) as a term. Fuzzy matching is used for
words with > 4 characters, and the fuzzy percentage is set to be 1 /
termlength. This works ok so far, though I would love to hear
opinions
on any improvements I could make. This is my first use of Lucene, so
I'm not sure I've chosen the best approach.
The problem I'm having is: Sometimes there is a song file that has
no
matching note file. In this case I get back results with "low"
scores,
such as 0.2 or 0.05. A "really good" match gives me 7 or 8. I don't
really understand what the scoring means, so I don't know what would
be a reasonable threshold to ignore scores.
I understand scores are not relevance percentages. I think the
scores
are only useful relative to other scores. Is this right? Are they
only
relative to scores from the same search, or from any search against
the same index? How can I know if a score is "low", so I can ignore
matches that aren't very good?
Sorry if this has been discussed before. I have searched around a
great deal and was unable to find a straight answer.
Thanks!
-Nate
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