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From Steven Bourke <sbou...@gmail.com>
Subject Re: Clustering boolean vectors
Date Tue, 10 May 2011 14:34:04 GMT
Are you trying to find similar items or recommend movies? If you are using
the cluster approach you will just find movies with similar genres so the
recommendation aspect of the work will only return recommended clusters of
movies back to the user.

On Tue, May 10, 2011 at 3:08 PM, mail2abin <mail2abin@gmail.com> wrote:

> Hi,
>
>
> I was trying to run ItemBasedRecommender on GroupLens movie sample data,
> which requires the rating ( user preferences inp). But suppose I do not
> have
> the rating ( user prefereces) , rather I have an
> Item boolean attribute vector. [ like God father - 0|1|0|0|0|0|1 ] , where
> the two 1's may say Crime, Drama.
>
> ItemBasedRecommender requires a DataModel, which I do not have. Instead I
> think I should use some Clustering techniques based on the Item boolean
> attribute vector, as I understand and later get items which belongs to the
> cluster.
>
> Please give pointers to the right Clustering API ( though I have see
> TanimotoCluster etc.), not sure if they are good for boolean vectors.
>
> -----
> Abin Varghese
> Software Engineer
> NY
> --
> View this message in context:
> http://lucene.472066.n3.nabble.com/Clustering-boolean-vectors-tp2923176p2923176.html
> Sent from the Mahout User List mailing list archive at Nabble.com.
>

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