Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-10802

Let ALS recommend for subset of data

    XMLWordPrintableJSON

    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Minor
    • Resolution: Won't Fix
    • Affects Version/s: 1.5.0
    • Fix Version/s: None
    • Component/s: MLlib
    • Labels:
      None

      Description

      Currently MatrixFactorizationModel allows to get recommendations for

      • single user
      • single product
      • all users
      • all products

      recommendation for all users/products do a cartesian join inside.

      It would be useful in some cases to get recommendations for subset of users/products by providing an RDD with which MatrixFactorizationModel could do an intersection before doing a cartesian join. This would make it much faster in situation where recommendations are needed only for subset of users/products, and when the subset is still too large to make it feasible to recommend one-by-one.

        Attachments

          Issue Links

            Activity

              People

              • Assignee:
                Unassigned
                Reporter:
                kretes Tomasz Bartczak
              • Votes:
                0 Vote for this issue
                Watchers:
                7 Start watching this issue

                Dates

                • Created:
                  Updated:
                  Resolved: