On Mar 20, 2009, at 1:48 PM, Sean Owen wrote:
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
Yes, this one, but the others are good to know, too. I'm still a
pretty new to CF, so bare w/ my dumb questions. I was thinking I'd
like to be able to do something like http://localhost:8080/mahout-taste-webapp/RecommenderServlet?itemID=15
(instead of userId=?)
and it would give me back all the movies that are similar to movie 15.
- 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?
