[ https://issues.apache.org/jira/browse/MAHOUT-877?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sebastian Schelter resolved MAHOUT-877. --------------------------------------- Resolution: Fixed Fix Version/s: 0.6 > Enable the parallel ALS recommender to use implicit feedback data > ----------------------------------------------------------------- > > Key: MAHOUT-877 > URL: https://issues.apache.org/jira/browse/MAHOUT-877 > Project: Mahout > Issue Type: New Feature > Components: Collaborative Filtering > Affects Versions: 0.6 > Reporter: Sebastian Schelter > Assignee: Sebastian Schelter > Fix For: 0.6 > > Attachments: MAHOUT-877.patch > > > Mahout's ParallelALSFactorizationJob offers a distributed matrix > factorization for computing recommendations. The current implementation is > only suited for explicit feedback data (ratings) unfortunately. > The majority of usecases has to work with implicit feedback however. The > paper "Collaborative Filtering for Implicit Feedback Datasets" > http://research.yahoo.com/pub/2433 describes a closely related approach that > is aimed at implicit feedback data and should easily be integratable into the > current ParallelALSJob. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira