Hi all, I've been exploring MoreLikeThisQuery as part of a recent project and something that came out of that might be useful to others here.
I found that using MoreLikeThisQuery could be quite slow for my use case, but that most of the time involved was spent looking up term frequencies to calculate weightings. Since those term frequencies usually don't need to be anywhere near real-time I found that caching them in a hashmap had a very good cost/benefit ratio for my application, speeding up MLT queries by an order of magnitude. My use case was possibly unusual in that I was looking at a limited vocabulary rather than full English, but in theory other applications that make use of the MLT class could benefit. So at this point I have some questions: (1) Have others experienced similar performance characteristics for MLT code? (2) Am I missing some fatal flaw in this approach? (3) Are the modifications worth sharing? Cheers, Rich --------------------------------------------------------------------- To unsubscribe, e-mail: java-dev-unsubscr...@lucene.apache.org For additional commands, e-mail: java-dev-h...@lucene.apache.org
