Sean Owen created SPARK-2768: -------------------------------- Summary: 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)