It would be great if you could write a little documentation on how to use the ALS recommenders in practice.
On 05.04.2013 01:56, Andrew Musselman wrote: > In case this thread is still a good place to reply with an offer to help, > I'd love to pitch in. I have built a few production recommenders, most > recently using Mahout at a large retailer along with my partner where we > used ALS, with a pipeline of transforming transactions in XML into vectors > using Pig, running them through Mahout, and writing to Cassandra. I've > also used Hadoop extensively and am experienced writing non-trivial UDF > libraries for Pig, so I am comfortable in that world. > > Where to start? Do you guys have bugs ranked in priority? > > Thanks > Andrew > > > On Wed, Mar 27, 2013 at 5:01 PM, Daniel Longest <dlong...@gmail.com> wrote: > >>> Have you used Mahout in some context before? Did you already checkout the >>> code base and build it? It usually helps if you are looking into >> solving a >>> specific problem with the project to find an area that interests you >>> personally. >> >> I worked through the Coursera ML course, which is how I heard about >> Mahout. I then read through some of Mahout in Action. I have checked >> out the codebase, had difficulty building it on Windows, but I've done >> it successfully on Ubuntu tonight so full steam ahead. Not sure I have >> a specific interest, seen a lot of good ideas thrown around on this >> thread this week. Ted had listed some possible GSOC ideas that I'd be >> open to if no students took them on. I see the JIRA has an "intro" >> tag, was going to explore some of those a bit to get my feet wet. >> >> Daniel >> >
