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  1. Mahout
  2. MAHOUT-1089

SGD matrix factorization for rating prediction with user and item biases

    Details

    • Type: New Feature
    • Status: Closed
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 0.7
    • Fix Version/s: 0.8
    • Labels:
      None

      Description

      A matrix factorization that is trained with standard SGD on all features at the same time, in contrast to ExpectationMaximizationFactorizer, which learns feature by feature.

      Additionally to the free features it models a rating bias for each user and item.

        Attachments

        1. RatingSGDFactorizer.java
          7 kB
          Zeno Gantner
        2. MAHOUT-1089.patch
          9 kB
          Sebastian Schelter
        3. RatingSGDFactorizer.java
          8 kB
          Zeno Gantner

          Activity

            People

            • Assignee:
              ssc Sebastian Schelter
              Reporter:
              zenogantner Zeno Gantner
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              Dates

              • Created:
                Updated:
                Resolved: