Hello, I run Nutch and get a whole slew of articles and when I display search results, there may be 5-6 articles that have different titles, and most of the body text is the same, but I want to group them all under one result. These are usually AP articles that all newspapers repurpose.
When using the MoreLikeThis functionality, the articles that are returned may or may not be similar. When I run the query, the scores returned can range from .1 to .4 for the first 2 hits and it usually will return around 50 results, with the last score coming in fairly close to 0. Usually, the first hit is the exact same article as what I am trying to determine related articles for. I know that the score value has no real meaning though, because it is done based upon the query, and other factors and then normalized. So, should I be taking (hit score/1) to use as a percentage value to see what other articles might be similar after that first hit? Try and normalize the similarity basically? Am I off my rocker? Or, is there possibly a way to use Carrot2 to find related articles for a given document? Thanks, Scott -- View this message in context: http://www.nabble.com/Find-related-question-tf3379250.html#a9405661 Sent from the Lucene - Java Users mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
