Hi(adsbygoogle = window.adsbygoogle || []).push({});

I have a problem in which I have to search a huge library in order to find documents similar to that of a given query document.

The library is organised into clusters and each cluster contains documents of a particular class.

Given a query document, first we retrieve the most similar clusters and then find the most similar documents among the retrieved clusters.

Now my question is, how do we model this hierarchical evaluation in a bayesian framework ? (Assuming we already have the retrieval methods in place) We just need a framework to probabilistically represent this hierarchical search.

I just need a starting point or an example (a research paper, textbook, etc)......

Any help would be greatly appreciated. Thank you

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# Bayesian model for hierarchical evaluation

**Physics Forums | Science Articles, Homework Help, Discussion**