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Apache Spark commented on SPARK-2768: ------------------------------------- User 'srowen' has created a pull request for this issue: https://github.com/apache/spark/pull/1687 > Add product, user recommend method to MatrixFactorizationModel > -------------------------------------------------------------- > > Key: SPARK-2768 > URL: https://issues.apache.org/jira/browse/SPARK-2768 > Project: Spark > Issue Type: Improvement > Components: MLlib > Affects Versions: 1.0.1 > Reporter: Sean Owen > Priority: Minor > > Right now, MatrixFactorizationModel can only predict a score for one or more > (user,product) tuples. As a comment in the file notes, it would be more > useful to expose a recommend method, that computes top N scoring products for > a user (or vice versa -- users for a product). -- This message was sent by Atlassian JIRA (v6.2#6252)