[mb-devel] Collaborative Filtering: Artist - Artist Relationships (Summer of Code Proposal)

[sharon myrtle]

On 3/27/07, Frederic Da Vitoria <davitofrg at gmail.com> wrote:
>
> 2007/3/27, sharon myrtle <sharon.myrtle at gmail.com>:
> > By the way, this is the proposal I've submitted -
> > http://www.sharonmyrtle.com/Projects/Google Summer of
> > Code/MusicBrainz proposal.html
>
> About the rating system: Should it be nominative or not?
>
> I'd like the system to be nominative, for two reasons. First, I fear
> that an anonymous system would allow zealots to vote dozens of times
> for their favourite items. Second, only a nominative system allows to
> change one's mind: if I once gave 8 to a release and after a few
> months decide that it isn't so good after all and I should only give
> it a 5, I don't want my old 8 to be used any more in the statistics.
> Of course, this implies MB must keep track of the votes of each user
> in the database, and it makes the calculations slightly more complex.
>
> --
> Frederic Da Vitoria
>
> _______________________________________________
> MusicBrainz-devel mailing list
> MusicBrainz-devel at lists.musicbrainz.org
> http://lists.musicbrainz.org/mailman/listinfo/musicbrainz-devel
>

Yes, a nominative rating system would be ideal. But, it's the second point
about which I have a few reservations.

We could apply Collaborative Filtering algorithm this way - Form an array
with the rows denoting the artists and columns representing the attribute
values from data sources. Now, if one of them is rating, we'll have to
calculate the mean of all user ratings for that particular artist. Now, if a
user decides to change his rating for an artist, we'll again have to
calculate the mean of ratings for the artist and also the correlation vector
of the artist. This is the scenario if one user changes rating for one
artist. Now if many users decide to change ratings for many artists, the
computation will become burdensome.

I have an alternative way to get around this problem. We could collect
ratings and then stop after a required amount has been collected. Now we
could calculate the correlation vector using these values. After some time
lapse (say, few months), we can re-calculate the mean of ratings using the
current rating values of the user. This is because, usually a person won't
change his/her opinion about an artist very quickly.

This method will help us build a nominative rating system and also reduce
the amount of rework necessary to form new relationships.
-- 
Regards,
Sharon.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://lists.musicbrainz.org/pipermail/musicbrainz-devel/attachments/20070328/45edb6cd/attachment.htm