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 --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
