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Sean Owen commented on MAHOUT-305: ---------------------------------- I'm about to commit another pass at this since it's getting better and better, that would formally collapse the two together per this thread. Then some more ideas can be added in that I didn't already. Ted how do you like to pick which items to pay attention to for co-occurrence? I'm looking for something simple to start. Though it's running pretty well (well a lot better than it was) at the moment, with the aggressive combiner chucking out low-frequency co-occurrence. > Combine both cooccurrence-based CF M/R jobs > ------------------------------------------- > > Key: MAHOUT-305 > URL: https://issues.apache.org/jira/browse/MAHOUT-305 > Project: Mahout > Issue Type: Improvement > Components: Collaborative Filtering > Affects Versions: 0.2 > Reporter: Sean Owen > Assignee: Ankur > Priority: Minor > > We have two different but essentially identical MapReduce jobs to make > recommendations based on item co-occurrence: > org.apache.mahout.cf.taste.hadoop.{item,cooccurrence}. They ought to be > merged. Not sure exactly how to approach that but noting this in JIRA, per > Ankur. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.