Implement some recommendation ideas used by the Netflix top teams to boost the
recommenders package
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Key: MAHOUT-329
URL: https://issues.apache.org/jira/browse/MAHOUT-329
Project: Mahout
Issue Type: New Feature
Components: Collaborative Filtering
Reporter: 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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