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hi otis,
i think that out of 2 k 80 % can be stemmed and many of the words are
duplicates so they would not need full space.
can you give me an idea what in your opinion would mean "don't need
queries to be quick" ...
i have no idea in what timeframe it could be handeled if it is not
completely i
Christian,
You can certainly purge old documents on a daily basis in order to keep the
corpus from growing, but note that 3M*90=270M 2K docs may be a bit too much for
a single index unless you really have lots of RAM or you don't need queries to
be quick. In other words, you may have to spread
Mark,
This is simple enough that it should be easy to put together. If you search
the ML archives you'll see that one of the common "tricks" is to "flip" host
name parts (e.g. com.sematext.www). The details of this have been discussed
before, so have a look.
Otis --
Sematext -- http://semat
Hi,
Here's the code which I am using to time the query:
long startTime = System.currentTimeMillis();
TopDocCollector collector = new TopDocCollector(10);
is.search(query,collector);
ScoreDoc[] hits = collector.topDocs().scoreDocs;
long endTime = System.currentTimeMillis();
Most of the clauses w
Let me add to that that I clearly recall having a hard time getting the tests
for that particular section of LIA1 to clearly and consistently show that using
the RAMDirectory buffering approach instead of vanilla IndexWriter yields
faster indexing. Even back then IndexWriter buffered indexed da
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If Hoss is referring to synonym expansion, allow me to point out that freely
downloadable code from Lucene in Action (first edition) has code for that, if
you'd like to have a look, OP.
Otis
--
Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch
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> From: Chri
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