Peng Cheng created MAHOUT-1286:
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Summary: Memory-efficient DataModel, supporting fast online
updates and iteration
Key: MAHOUT-1286
URL: https://issues.apache.org/jira/browse/MAHOUT-1286
Project: Mahout
Issue Type: Improvement
Components: Collaborative Filtering
Affects Versions: 0.9
Reporter: Peng Cheng
Assignee: Sean Owen
Most DataModel implementation in current CF component use hash map to enable
fast 2d indexing and update. This is not memory-efficient for big data set.
e.g. Netflix prize dataset takes 11G heap space as a FileDataModel.
Improved implementation of DataModel should use more compact data structure
(like arrays), this can trade a little of time complexity in 2d indexing for
vast improvement in memory efficiency. In addition, any online recommender or
online-to-batch converted recommender will not be affected by this in training
process.
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