çð 2009-02-16àÍìI 22:08 -0500ÅCGrant Ingersollé ì¼ÅF
Hmmm, you might be able to do the following:
>
> Create a document in a memory index containing the web page
Create a query from the keywords
> Do a search with the query against the memory index and see the score.
>
> Alternatively, you could use the corpus statistics plus to create a
term vector from the document (as if it were a member of the
collection) and then do the cosine calculation of that document with
your query (which you also calculated the weights for based on your
> collections stats)
>
> Last, it sounds like you are essentially describing a categorization
task. Have a look at some categorization software (for instance,
> Mahout can do Naive Bayes categorization or some alternatives).
>
> Of course, I might be missing something in understanding what you are
asking, so feel free to give a shout back to discuss.
>
HTH,
Grant
On Feb 12, 2009, at 1:31 AM, renavatior wrote:
>
> > I am doing some research in vertical search? Therefore, i defined some
> weights of several keywords in my corpus expressing a certain
> theme,later,how can i use these to compute the similarity with the
> given web
> page(passed by url to the compute method).I saw the source code of
> Similarity.java in Lucene,but i do not know how to use the method
> such as
> TF,IDF,and so on.
> i will really appreciate it if anyone can give me some advice,thanks
> > in
> advance.
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--------------------------
Grant Ingersoll
http://www.lucidimagination.com/
Search the Lucene ecosystem (Lucene/Solr/Nutch/Mahout/Tika/Droids)
using Solr/Lucene:
http://www.lucidimagination.com/search
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