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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