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From Ted Dunning <ted.dunn...@gmail.com>
Subject Re: How about a LSH recommender ?
Date Wed, 13 Apr 2011 07:33:13 GMT
Sean,

Do you mean LSI (latent semantic indexing)?  Or LSH (locality sensitive
hashing)?

(are you a victim of agressive error correction?)

(or am I the victim of too little?)

On Wed, Apr 13, 2011 at 12:28 AM, Sean Owen <srowen@gmail.com> wrote:

> This approach is really three approaches put together. Elements of two of
> the approaches exist in the project -- recommendations based on
> co-occurrence, and based on clustering (though not MinHash). I don't
> believe
> there's much proper LSI in the project at the moment?
>
> I would steer you towards looking at implementing the pieces of this, which
> are more useful and reusable. Implementing this whole thing is quite a
> large
> project.
>
> On Wed, Apr 13, 2011 at 8:19 AM, ke xie <oeddyo@gmail.com> wrote:
>
> > Dear all:
> >
> > I've read a paper from google, which is about their news recommender
> > system.
> > They implemented a LSH algorithm to find the closest neibourhoods and the
> > algorithm is fast for that.
> >
> > Can we implement one and contribute into the mahout project? Any
> > suggestions?
> >
> > paper is here:
> > http://iws.seu.edu.cn/resource/Proceedings/WWW/2007/papers/paper570.pdf
> >
> >
> > Cheers
> >
> >
> > --
> > Name: Ke Xie   Eddy
> > Research Group of Information Retrieval
> > State Key Laboratory of Intelligent Technology and Systems
> > Tsinghua University
> >
>

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