Mahout trust aware collaborative filtering

Question

I'm trying develop a trust-aware collaborative filtering approach. I have two epinions datasets. One with who trusts who: <ID_truster, ID_trusted>. And one with ratings: <ID_truster, ITEM, RATING>.

How can I make recommendations (User-User based) using only ratings from people who I trust?

At the moment I only make recommendations using the second dataset, taking in consideration every user.

Thank you

score 0 · Accepted Answer · answered May 09 '14 at 14:47

0

The closest thing I can think of is to use a user-neighborhood-based approach, and only include trusted users in the neighborhood. You would need to write some extra code for that, to disqualify untrusted users, by returning a very negative similarity value for them. Look at the UserSimilarity interface.

answered May 09 '14 at 14:47

Sean Owen

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So If I want to to get predictions from users with common ratings using tanimotoCoefficientSimilarity e.g I would go straight to that class to sort trusted users? THANK YOU! – Nick May 09 '14 at 15:14

Mahout trust aware collaborative filtering

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