Dmitriy Lyubimov created MAHOUT-1365: ----------------------------------------
Summary: Weighted ALS-WR iterator for Spark Key: MAHOUT-1365 URL: https://issues.apache.org/jira/browse/MAHOUT-1365 Project: Mahout Issue Type: Task Reporter: Dmitriy Lyubimov Assignee: Dmitriy Lyubimov Fix For: Backlog Given preference P and confidence C distributed sparse matrices, compute ALS-WR solution for implicit feedback (Spark Bagel version). Following Hu-Koren-Volynsky method (stripping off any concrete methodology to build C matrix), with parameterized test for convergence. The computational scheme is followsing ALS-WR method (which should be slightly more efficient for sparser inputs). The best performance will be achieved if non-sparse anomalies prefilitered (eliminated) (such as an anomalously active user which doesn't represent typical user anyway). the work is going here https://github.com/dlyubimov/mahout-commits/tree/dev-0.9.x-scala. I am porting away our (A1) implementation so there are a few issues associated with that. -- This message was sent by Atlassian JIRA (v6.1#6144)