Open Source collaborative filtering frameworks

Question

I was wondering if there exists any open source frameworks that will help me include the following type of functionality to my website:

1) If I am viewing a particular p

Answer 1

(I am the developer of Taste, which is now part of Apache Mahout)

1) You're really asking for two things here: a) Recommend items I might like b) Favor items that are similar to the thing I am currently looking at.

Indeed, Mahout Taste is all about answering a). Everything it does supports systems like this. Take a look at the documentation to get started, and ask any questions to mahout-user@apache.org.

For 1b) in particular, Mahout has two answers:

If you are only interested in what items are similar to the current item, you would be interested in the ItemSimilarity abstraction in Mahout (org.apache.mahout.cf.taste.similarity.ItemSimilarity) and its implementations, like PearsonCorrelationSimilarity. Based on a set of user-item ratings, this could tell you an estimated similarity between any two items. You'd then just pick the most similar items. In fact, look at the TopItems class in Mahout which can just figure this for you quickly.

But also, you can combine a) and b) by computing recommendations, then applying a Rescorer implementation which then favors items that are similar to the currently-viewed item.

2) Yes likewise, you would be interesting the UserSimilarity abstraction, implementations, etc. This would deduce similarities based on item ratings. Mahout however does not help you deduce these ratings by, say, looking at user behavior. This is domain-specific and up to you.

Sound confusing -- read the docs and feel free to follow up on mahout-user@apache.org where I can tell you more.