Hello Terry, Lucene can do forward indexing, as Mark Rosen outlines in his Master's thesis: http://citeseer.nj.nec.com/rosen03email.html.
We use a similar approach for (probabilistic) latent semantic analysis and vector space searches. However, the solution is not really completely fixed yet, therefore no code at this time... Best regards, Gregor -----Original Message----- From: Peter Becker [mailto:[EMAIL PROTECTED] Sent: Tuesday, August 19, 2003 3:06 AM To: Lucene Users List Subject: Re: Similar Document Search Hi Terry, we have been thinking about the same problem and in the end we decided that most likely the only good solution to this is to keep a non-inverted index, i.e. a map from the documents to the terms. Then you can query the most terms for the documents and query other documents matching parts of this (where you get the usual question of what is actually interesting: high frequency, low frequency or the mid range). Indexing would probably be quite expensive since Lucene doesn't seem to support changes in the index, and the index for the terms would change all the time. We haven't implemented it yet, but it shouldn't be hard to code. I just wouldn't expect good performance when indexing large collections. Peter Terry Steichen wrote: >Is it possible without extensive additional coding to use Lucene to conduct a search based on a document rather than a query? (One use of this would be to refine a search by selecting one of the hits returned from the initial query and subsequently retrieving other documents "like" the selected one.) > >Regards, > >Terry > > > --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED] --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
