Applying a weight measure

Hello,
I'm doing a program in Java whereas an article is matched against the top 10 topic-related entries in Google using similarity algorithms.
Now let us assume that the original article is matched against the first one and the similarity is 0.98 (nearly identical). Against article 2 we get 0.86, against article 3 we get 0.92 and so on...
For this program, I decided to also consider the PageRank (PR) score for each of the 10 Google entries. So for example the PR for the first entry is 8, the PR for the second article is 6 and so on...
My query is how to apply a weight upon the similarity score generated from the PR score. For example, for the first match I could say 0.98 * 8 = 7.84 but this score doesn't make much sense. I need the PR score to serve as a weight on the similarity score, but my idea of just multiplying the two is not very useful.
Does anyone can provide any suggestions how can I do this please?
Thanks!

Hi qqsu,
Yes this is just an initial thing, it has many issues and problems that need to be investigated further.
You're right about the pagerank issue, but the thing is that the 11th topic would probably be less related to the topic than the first ten. And also we have to keep in mind that Google not only considers keywords, but also inlinks from authoritative sources. So a high pagerank score, although not necessarily meaning it is the best article, gives a rough indication of the content. And also we would have an aggregation from 10 different locations, not just one, so the ranking should hopefully be more accurate.
However, I found a solution to the weight problem by using logarithms for the pagerank scores.

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INTERPOLATION
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500.0 100.0
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EOF
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latheesh

hi Latheesh ,
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From [Adventure Works]
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Applying a weight measure

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