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From Mark Harwood <markharw...@yahoo.co.uk>
Subject Re: Doc-Doc Similarity Matrix Construction
Date Mon, 29 Jun 2009 19:22:43 GMT
See MoreLikeThis in the contrib/queries folder. It optimizes the speed  
of similarity comparisons  by taking the most significant words only  
from a document as search terms.




On 29 Jun 2009, at 20:14, Amir Hossein Jadidinejad wrote:

> Hi,
> It's my first experiment with Lucene. Please help me.
> I'm
> going to index a set of documents and create a feature vector for each
> of them. This vector contains all terms belong to the document that
> weight using TFIDF.
> After that I want to compute the cosine similarity between all  
> documents and produce a doc-doc similarity matrix. My document set  
> is large and it's important to have a scalable implementation.
> Would you please provide me a guideline or to-do list?
> Thank you and kind regards.
>
>


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