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https://issues.apache.org/jira/browse/MAHOUT-103?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12682674#action_12682674
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Sean Owen commented on MAHOUT-103:
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Oh my just saw this. My thoughts after looking at the patch:
Overall this feels like its doing the same thing as a combination of
TanimotoCoefficientSimilarity and BooleanPreferenceUser -- defining user/item
similarity in terms of simple co-occurrence of items in users.
In particular FitnessEvaluator looks like the same thing as ItemSimilarity.
Click feels like a domain-specific class -- to represent an Item in the
framework that doesn't have an associated pref value, use BooleanUserPreference
with GenericUser.
The Hadoop job likewise seems domain-specific.
> 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.
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