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Sean Owen commented on MAHOUT-103: ---------------------------------- That last point is interesting. Another school of thought is that rating something, even negatively, suggests you have a closer association to that thing than to the millions of other things you've never heard of. Let's say you rate Bach a 5 and Brahms a 4 and Mendelssohn a 1.5. Would you rather recommend a Mendelssohn recording to this person, or death metal? This is my understanding of the intuition I've gotten from Ted, and seems to bear out somewhat in practice, that ratings have a lot less info than one would think. Well it's obviously something one can evaluate within the framework with the evaluator code to decide for sure. > Co-occurence based nearest neighbourhood > ---------------------------------------- > > Key: MAHOUT-103 > URL: https://issues.apache.org/jira/browse/MAHOUT-103 > Project: Mahout > Issue Type: New Feature > Components: Collaborative Filtering > Reporter: Ankur > Assignee: Ankur > Attachments: jira-103.patch > > > Nearest neighborhood type queries for users/items can be answered efficiently > and effectively by analyzing the co-occurrence model of a user/item w.r.t > another. This patch aims at providing an implementation for answering such > queries based upon simple co-occurrence counts. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.