Yes. That is quite reasonably possible. It isn't really micro-sharding since it will be different for every user rather than being a universal sharding of all users.
On Tue, Aug 16, 2011 at 8:35 PM, Lance Norskog <[email protected]> wrote: > Are there any recommender algorithms designed for micro-sharding the > data model? The use case would be a mobile app that stores only a data > model for the phone owner. > > It seems like a user-user recommender does not need data for all > users; nearby users plus some background noise should be enough to > achieve good quality recommendations. The entire algorithm could > create a global dataset, and then pull out a small amount for a given > user. > > -- > Lance Norskog > [email protected] >
