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From Petr Shestov <pshes...@nvidia.com>
Subject Interpretation of SVDRecommender
Date Tue, 09 Jun 2015 14:02:30 GMT
Hi all!
I'm trying to build SVDRecommender using Mahout. Code is simple:
DataModel model = new FileDataModel(new File("data.csv"));
SVDRecommender recommender = new SVDRecommender(model, new SVDPlusPlusFactorizer(model, 10,
20));
All my ratings are doubles between 0 and 1. However recommender in most cases predicts values
above 1. How could it happen? Is it a feature of svd-based algorithm? Since approximate decomposition
is created.
The same problem with ALSWRFactorizer.
Thanks!

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