On Mon, Jun 22, 2009 at 4:50 PM, charlysf<[email protected]> wrote: > > Thank you very much, in this case, I will give the best relevant articles, > but not really some new recommendations, in this case, I maybe should make > some recommendations about new subjects for an user, with an User Based > recommendation, and then make the same to retrieve linked articles.
Yes you could use the framework to recommend subjects, rather than items, to users. Or, to recommend items to subjects. Anything could be construed as a recommendation problem. I think it's interesting to experiment with these to see what kind of results you get. > That's my first part, implicit recommendation, and for explicit > recommendation, i have a user_feedback table, with : user_id, article_id, > rating, so for that this is very common and not a problem. > > I'm wondering if I should choose a user based or an item basis engine for > that, what is your advice ? If you have more users than items, I would try a user-based recommender. And vice versa. You should also try the SlopeOneRecommender. I think it's worthwhile to try many variations and see which performs best. You can use the "Evaluator" classes to decide how well the recommenders are predicting ratings.
