What do you mean by recommendations "given an item" -- I think the answer is 'yes' with a little work. Do you mean
- recommended users that would like an item, given an item? Yes, this would mean transposing the data model so that user IDs are item IDs and vice versa, that's all - items similar to a given item? doesn't need a recommender, just use an ItemSimilarity. There is a convenience method on ItemBasedRecommender that does this for you too - recommendations from an "item-based recommender"? Sure just use GenericItemBasedRecommender. Indeed, the point of using this recommender is that you have some external, precomputed notion of item similarity (which makes things fast, and injects more information). But you can use a correlation-based similarity metric which is just based on preference values too. It works, just doesn't really exploit the point of item-based recommenders On Fri, Mar 20, 2009 at 5:10 PM, Grant Ingersoll <[email protected]> wrote: > Is there anyway in the demo to see item recommendations, given another item? > I think my quick perusal of the code showed only userID as input, but maybe > I missed something. BTW, that's item-item similarity, right? And that is > usually calculated offline, right?
