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https://issues.apache.org/jira/browse/MAHOUT-103?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12778911#action_12778911
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Ankur commented on MAHOUT-103:
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Thanks for the quick lookup, appreciate that :-).
Putting in a subpackage, sure, for now I'll just leave all the main code under
one subpackage (how about 'bigram') until u have it sorted out.
As for the code, once I have the test code ready for netflix dataset and at
least one unit test, it will be good to go. One question, How do we apply
precision-recall or RMSE or any other evaluation technique to the results since
all we are doing is counting co-occurrence ?
Do u have the JIRA for this hadoop related bug?
> 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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