Hi Vlad,
It looks good for me to focus on the proposal now and looking into mentor
later.
I am considering collaborative filtering with *user similarity* and *item
similarity*.
And also* association rule learning* for finding out general behaviour of a
user-item group.
I think those two would be good enough as the algorithms for a 3 month
period, what do you think ?
I started my proposal but it is not finished yet, when it is finished (lets
say version-1) i will send it to get a feedback from you.
And about the scheduling part, I am working on that.
On Wed, Apr 24, 2013 at 6:23 AM, Vlad Niculae <[email protected]> wrote:
> Hi Şükrü
>
> We can focus on the proposal now and decide later who is better to
> mentor it. I could do it but it is not the thing I would be the best
> at mentoring, so to solve the chicken-and-egg problem we can optimize
> the decisions jointly when the time comes.
>
> Did you start working on your proposal and on a tentative schedule?
> Did you think of what algorithms you will implement?
>
> Also, regarding all of the other points made in the thread: even if
> merging into master is a good way to finish a GSoC, there is nothing
> wrong with leaving a project in a mergable state, but freezing it
> until 1.0 (which hopefully will not be very late!)
>
> Yours,
> Vlad
>
> On Sat, Apr 20, 2013 at 5:46 PM, Şükrü Bezen <[email protected]> wrote:
> > I am still looking for a mentor to backup this idea of mine, anyone
> > interested ?
> >
> >
> > On Wed, Apr 17, 2013 at 2:43 AM, Mathieu Blondel <[email protected]>
> > wrote:
> >>
> >>
> >>
> >> On Mon, Apr 15, 2013 at 10:45 PM, Olivier Grisel
> >> <[email protected]> wrote:
> >>>
> >>> Also I would rather avoid adding fancy new application specific public
> >>> API just for the recsys use case. Especially before the 1.0 release.
> >>> If we can stick to the existing public fit / transform / predict API
> >>> (using scipy.sparse matrices), then fine. Otherwise that might cause
> >>> trouble.
> >>
> >>
> >> I mentioned it in another thread but inverse_transform is exactly the
> >> method that we need to impute missing values.
> >>
> >> Mathieu
> >>
> >>
> >>
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> >
> >
> > --
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> > Şükrü BEZEN
> >
> >
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