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.
