mahout-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Sean Owen <sro...@gmail.com>
Subject Re: Recommendation scores from LogLikelihood Similarity recommender
Date Sun, 06 May 2012 18:24:59 GMT
That sounds a lot like something that the cosine similarity would pick up
on for sure.

On Sun, May 6, 2012 at 6:48 PM, Will C <will@infomofo.com> wrote:

> So I've taken another try at using recommendations values.  However, unlike
> something that a user is explicitly rating on a scale of 0-5. I am using a
> user's activity.  Certain activities of a user toward an item are negative,
> and certain are positive.
>
> If I have users 1 and 2 and 3, and product X, and their preferences are as
> follows:
>
> 1, X, -1
> 2, X, 1
> 3, X, 10
>
> Clearly 2 and 3 are closer than 2 and 1, because they both like product X,
> just to varying degrees.  However, most distance algorithms I've tried are
> incorrectly showing 1 and 2 closer because their difference is less.
>
> Am I approaching this wrong?  Other than switching to boolean preferences,
> is there a better way to approach this?
>
> -Will

Mime
  • Unnamed multipart/alternative (inline, None, 0 bytes)
View raw message