I have custom implementation of ItemSimilarity.Does GenericItemBasedRecommender.mostSimilarItems() need preference data? I new GenericItemBasedRecommender with the preference data model and implementation of ItemSimilarity,but seems mostSimilarItems() return no results.
On Sun, Sep 26, 2010 at 4:31 PM, Sean Owen <[email protected]> wrote: > No, it does not need preferences. Use a notion of similarity that does > not need preferences, like LogLikelihoodSimilarity. > > But it sounds like you mean something different. You don't have any > data to start, yes, so you can't determine similar items. Well yes, > with no data at all, algorithms won't help. Don't launch this feature > until you have some data, or, make up a standard dummy list of similar > items to start. > > But it also sounds like you want to recommend to users, which is not > the same as computing most similar items. Maybe you can clarify what > you're doing. > > On Sun, Sep 26, 2010 at 7:26 AM, Sam Yang <[email protected]> wrote: > > GenericItemBasedRecommender.mostSimilarItems() need item preference > data,if > > there is no preference data at start,Is there some way to get similar > items. > > I integrated the recommendation engine to store,but at start there is no > > enough preference data,but we need to show recommendations for users,so > I > > want to find some similar > > items of the tem user open. > -- I'm samsam.
