WSIRN produces recommendations based purely on collective taste: when books are entered into the same favorites list, they become associated with each other. The more often particular items appear on different lists, the stronger that association becomes. Purely and simply, WSIRN represents mass opinion about books. For the technically minded, this is a collaborative filtering system, using our own bespoke algorithm called 'Incidence Bias Weighting' and partly using association rules.
I’m interested in the ADS Orbiter Package
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