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https://issues.apache.org/jira/browse/MAHOUT-103?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12682915#action_12682915
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Ankur commented on MAHOUT-103:
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Hey Sean, Thanks for review comments. Some specific questions
1. This indeed is doing approximately the same thing as
TanimotoCoefficientSimilarity and BooleanPreferenceUser. The difference being
that similarity computations is parallelized in map-reduce.
2. The idea of introducing a FitnessEvaluator was to allow people to apply
domain specific things when comparing a preference. Are you suggesting the
replacement of FitnessEvaluator with ItemSimilarity ?
3. The Hadoop job was written to run this thing stand-alone. What modifications
do you feel would be appropriate for integration into the framework?
> 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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