[MAHOUT-1004] Distributed User-based Collaborative Filtering

• Type: New Feature
• Status: Closed
• Priority: Minor
• Resolution: Won't Fix
• Affects Version/s: 0.7
• Fix Version/s: 0.10.0
• Labels: Recommender User-based
• Assignee: Suneel Marthi
• Reporter: Kris Jack
• Created: 01/May/12 10:23
• Updated: 31/Jan/24 22:11
• Resolved: 02/Mar/14 20:05

Description

I'd like to contribute code that implements a distributed user-based collaborative filtering algorithm.

In brief, so far I've taken the code for the existing org.apache.mahout.cf.taste.hadoop.item.RecommenderJob and created a new org.apache.mahout.cf.taste.hadoop.user.RecommenderJob. With help from Sean Owen, I followed a similar approach to the item-based implementation, but multiplied a user-user matrix with a user-item vector rather than an item-item matrix with an item-user vector. The result of the multiplication then needs to be transposed in order to output recommendations by user id.