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From Ted Dunning <ted.dunn...@gmail.com>
Subject Re: Evaluating Mahout's recommender support
Date Wed, 29 Dec 2010 23:22:44 GMT
Are you sure that you read the Elkan and Mohan paper?

They tested this cold-start process.  And got real results.

On Wed, Dec 29, 2010 at 2:29 PM, Dmitriy Lyubimov <dlieu.7@gmail.com> wrote:

> Also, another observation they were making was that if we learn latent
> links
> and regression based on static user/item profiles as a first stage model,
> and then
> add model that considers side information as a second stage (when first
> stage is being frozen) then we can have reasonable prediction for a user
> based on its
> profile out of the door before the user has yet to make any ratings (i.e.
> before any side information has been available). Thus they say it is a
> reasonable cold start
> solution (which i think was part of the inquery in the original post, they
> say they add 100s users per day i would like to make recommendations out of
> the door). i think they implied that was a technique that yahoo media was
> using.
>

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