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https://issues.apache.org/jira/browse/MAHOUT-103?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ankur updated MAHOUT-103:
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Attachment: mahout-103.patch.v1
Ok, so here's the revised version of the algorithm that this jira proposes to
implement. I have tried to make the code as clean and readable as possible.
Next I plan to write some test code for preparing and running on Netflix prize
dataset. As a part of data preparation the 'dates' and 'ratings' will be
dropped and algo will run on (user-id, item-id) pairs.
Not sure how we can include age related decay/boost when counting
co-occurrence. May be others can pitch in once we have the basic stuff working
fine.
> 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, mahout-103.patch.v1
>
>
> 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.
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