Hello Sebastian: I was going over the ALS-WR paper (by Yunhong Zhou, Dennis Wilkinson, Robert Schreiber and Rong Pan- HP Labs on Netflix dataset) this weekend, and I am still trying to understand the algorithm.
I am currently working on running item based recommender on the Wikipedia link dataset (boolean preferences) on EC2 clusters.I am interested in testing the ALS recommender, however, at this point I have no clear understanding of what user/item features mean, and even determining the iterations as well as numoffeatures attribute upfront. Is there any documentation or overview on the usage of the Mahout ALS implementation ? Additionally, it will save us lot of time, if you could forward any reference tutorial or video presentation links (similar to Item-similarity Job on vimeo) on RecommenderJob or ALS Kumar _/|\_ www.saisk.com [email protected] "making a profound difference with knowledge and creativity..." On Thu, Jun 16, 2011 at 11:48 AM, Sebastian Schelter <[email protected]> wrote: > Hello Kumar, > > Check the Mahout JIRA for features planned for 0.6 at > https://issues.apache.org/**jira/browse/MAHOUT<https://issues.apache.org/jira/browse/MAHOUT> > > It would be great if you could test the distributed ALS recommender that > uses matrix factorization. If you wanna dive into that I'm sure we'd find a > lot of things you could improve. > > Check it's original jira issue as a starting point: > https://issues.apache.org/**jira/browse/MAHOUT-542<https://issues.apache.org/jira/browse/MAHOUT-542> > > If you want something small to work, you can check > https://issues.apache.org/**jira/browse/MAHOUT-609<https://issues.apache.org/jira/browse/MAHOUT-609> > > Does that match what you expected? If you have any ideas yourself, feel > free to share them with us. > > --sebastian > > > > > On 16.06.2011 18:06, Kumar Kandasami wrote: > >> Hi ! >> >> Could anyone point to a link that outlines the features expected in the >> mahout 0.6 release ? Specifically distributed recommendation engines. >> >> Also, I am currently using/working on the distributed recommendation >> engines >> on EC2 clusters - is there a way that I could contribute any code that >> would >> be in the 0.6 or future road map. >> > > >> Thank you. >> >> Kumar _/|\_ >> www.saisk.com >> >> >
