FastByIDRunningAverage: Optimize SlopeOneRecommender by optimizing
MemoryDiffStorage
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Key: MAHOUT-824
URL: https://issues.apache.org/jira/browse/MAHOUT-824
Project: Mahout
Issue Type: Improvement
Reporter: Lance Norskog
Priority: Trivial
Attachments: MAHOUT-824.patch, MAHOUT-824.short.patch
The SlopeOneRecommender has by far the best RMS of all of the online
recommenders in Mahout (that I've found). Unfortunately the implementation also
uses much more memory and is unuseable on my laptop.
This patch optimizes memory (and speed) by folding FastByIDMap<RunningAverage>
into one class: FastByIDRunningAverage. This is what it sounds like: a
Long-addressable array of running averages (and optionally standard deviation).
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