The project is at it's early stages... so far we have only 100 users and 2000 items.. so nothing to show right now.
On Tue, Oct 4, 2011 at 10:20 PM, Lance Norskog <[email protected]> wrote: > Can you post any database sizing/performance numbers? > > Lance > > On Tue, Oct 4, 2011 at 9:02 AM, Octavian Covalschi < > [email protected]> wrote: > > > That's good to know too. Thank you! > > > > On Tue, Oct 4, 2011 at 10:44 AM, Sebastian Schelter <[email protected]> > > wrote: > > > > > You can implement a custom CandidateItemsStrategy. This class > determines > > > which items are initially selected for the recommendation process. > > > > > > --sebastian > > > > > > On 04.10.2011 16:56, Octavian Covalschi wrote: > > > > Hi there. > > > > > > > > I'm working on a small project that is using taste for user based > > > > recommendations. We were able to integrate MongoDb with it using > > > > MongoDBDataModel instead of file feeds. Results are pretty good in > our > > > > opinion, however we'd like to go further and add some kind of > filters, > > to > > > > have even more relevant results. For example each item may have some > > > > attributes and we'd like to use them part of results... I don't want > to > > > > apply filters after getting results from taste since we may end up by > > > > excluding all of them, which will make us querying taste again, if > that > > > > makes sense... > > > > > > > > So, is there anything out of the box that could help us? Or we'll > have > > to > > > > tweak out datamodel in order to accomplish that? > > > > > > > > Any suggestions are welcome. Thank you in advance. > > > > > > > > > > > > > > > > -- > Lance Norskog > [email protected] >
