Very cool, how exactly do you generate the hierarchies? Is there an existing site taxonomy or categorization you’re using? Or associating query strings with the docs clicked and using refinements to see the hierarchy? Or maybe LtR training data per site category?
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They are constructed from a probabilistic similarity measure defined in terms of the metadata available for items, where their path tends to be weighed fairly heavily. Does that answer make sense?
Cool stuff, appreciate the answer. Makes more sense. BTW feel free to join us on relevance slack community, a lot of us we’re curious what you were doing