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From "Ankur (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAHOUT-103) Co-occurence based nearest neighbourhood
Date Tue, 17 Nov 2009 14:51:39 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-103?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12778911#action_12778911
] 

Ankur commented on MAHOUT-103:
------------------------------

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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