Hi Karl,
No, sometimes there will not be a matching MP3 for a note file. When
this happens, the results I get are very poor. For example, if a song
with a common song word like "love" in the name does not have a
matching note file, then I get a handful of results that contain the
word "love" but a
What does the searcher.explain() method say?
-Grant
On May 6, 2009, at 2:18 AM, Kamal Najib wrote:
hi,
thanks for the reply.see: http://lucene.apache.org/java/2_4_1/api/index.html
you will find there the Similarity have created and run to get the
similarity between the two Strings.I did the
On May 7, 2009, at 9:11 AM, Adrian Dimulescu wrote:
Thank you for these precisions. As I had to do something fast, I
coded the thing as illustrated by the following pseudocode:
IndexReader index;
TermPositions iterator = this.index.termPositions(t); // for each
doc where this term appe
Michael,
Thanks for the comments they are very insightful.
I hadn't thought about the Random Access issues until you brought it up.
This makes the project a little tougher, but not impossible.
I was searching last night and there have been a couple of papers
written on the topic of Encrypted
You haven't forced the double quotes through to the parser. Try
Query query = qp.parse("\"word1 word2\"");
On Thu, May 7, 2009 at 11:14 AM, Seid Mohammed wrote:
> I have set the slop for my search to be some terms away for inclusion.
> unfortunately, the result is the same indpendent of my setPh
Thank you for these precisions. As I had to do something fast, I coded
the thing as illustrated by the following pseudocode:
IndexReader index;
TermPositions iterator = this.index.termPositions(t); // for each doc
where this term appears
while (iterator.next()) {
int docNr = it
I have set the slop for my search to be some terms away for inclusion.
unfortunately, the result is the same indpendent of my setPhraseSlop(int) usage.
code excerpts:
==
QueryParser qp = new QueryParser("content", new AmharicAnalyzer());
qp.setPhraseSlop(3);
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
This is known & expected.
Lucene does not update the terms dictionary (meaning which terms are
in the index, and their frequency) in response to deleted docs.
It does update TermDocs enumeration, ie once you get the TermDocs for
a given term and step through its docs, the deleted docs will not be
