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From Ted Dunning <>
Subject Re: Popularity of recommender items
Date Fri, 07 Feb 2014 05:43:03 GMT
One way to deal with that is to build a model that predicts the ultimate number of views/plays/purchases
for the item based on history so far.  

If this model can be made Bayesian enough to sample from the posterior distribution of total
popularity, then you can use the Thomson sampling trick and sort by sampled total views rather
than estimated total views.  That will give uncertain items (typically new ones) a chance
to be shown in the ratings without flooding the list with newcomers.  

Sent from my iPhone

> On Feb 7, 2014, at 3:38, Pat Ferrel <> wrote:
> The particular thing I’m looking at now is how to rank a list of items by some measure
of popularity when you don’t have a velocity. There is an introduction date though so another
way to look at popularity might be to decay it with something like e^-t where t is it’s
age. You can see the decay in the views histogram

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