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https://issues.apache.org/jira/browse/MAHOUT-329?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved MAHOUT-329.
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Assignee: Robin Anil
Resolution: Later
Shelving this as GSoC projects are set and if something like this is taken up,
it'd probably be in the form of a more specific proposal to implement an
algorithm.
> Implement some recommendation ideas used by the Netflix top teams to boost
> the recommenders package
> ---------------------------------------------------------------------------------------------------
>
> Key: MAHOUT-329
> URL: https://issues.apache.org/jira/browse/MAHOUT-329
> Project: Mahout
> Issue Type: New Feature
> Components: Collaborative Filtering
> Reporter: Robin Anil
> Assignee: Robin Anil
>
> A student with a good proposal
> - should be free to work for Mahout in the summer and should be thrilled to
> work in this area :)
> - should be able to program in Java and be comfortable with datastructures
> and algorithms
> - must be clear about the algorithm or heuristic, how it works, its
> strengths, its weaknesses and possible tweaks.
> - must have a plan on making it a map/reduce implementation
> - should be able to show the improvement on the netflix data as compared to
> the baseline recommender package by the end of summer of code
> - must have clear deadlines and pace it evenly across the span of 3 months.
> - may have a background in these area. Past work, thesis etc counts, so show
> it in the proposal clearly
> If you can do something extra it counts, but make sure the plan is reasonable
> within the specified time frame.
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