I'll look into this too, possibly in two days Sent from my iPhone
> On Nov 26, 2013, at 22:30, "Dmitriy Lyubimov (JIRA)" <[email protected]> wrote: > > > [ > https://issues.apache.org/jira/browse/MAHOUT-1365?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel > ] > > Dmitriy Lyubimov updated MAHOUT-1365: > ------------------------------------- > > Attachment: distributed-als-with-confidence.pdf > >> 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 >> >> Attachments: distributed-als-with-confidence.pdf >> >> >> 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)
