Hi, I have read some posts in user/developer archives about Lucene-based document similarity comparison. In summary there are two approaches are mentioned:
1 - Construct document to a query; 2 - Calculate each document to be a vector, then rank accoring to their distance (cosine). Do they produce same ranking results? Is there any other way to do so? I guess the 2nd approach will be more precise but slow. Thanks. Jing --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
