I guess that belief propagation could help here (at least, I find the ideas enough similar), thus this article might be a good start : http://arxiv.org/pdf/1004.1003.pdf (it's on my todo list, hence cannot really help further ^^)
On Thu, Jun 18, 2015 at 11:44 AM Timothée Rebours <t.rebo...@gmail.com> wrote: > Thanks for the quick answer. > I've already followed this tutorial but it doesn't use GraphX at all. My > goal would be to work directly on the graph, and not extracting edges and > vertices from the graph as standard RDDs and then work on that with the > standard MLlib's ALS, which has no interest. That's why I tried with the > other implementation, but it's not optimized at all. > > I might have gone in the wrong direction with the ALS, but I'd like to see > what's possible to do with MLlib on GraphX. Any idea ? > > 2015-06-18 11:19 GMT+02:00 Akhil Das <ak...@sigmoidanalytics.com>: > >> This might give you a good start >> http://ampcamp.berkeley.edu/big-data-mini-course/movie-recommendation-with-mllib.html >> its a bit old though. >> >> Thanks >> Best Regards >> >> On Thu, Jun 18, 2015 at 2:33 PM, texol <t.rebo...@gmail.com> wrote: >> >>> Hi, >>> >>> I'm new to GraphX and I'd like to use Machine Learning algorithms on top >>> of >>> it. I wanted to write a simple program implementing MLlib's ALS on a >>> bipartite graph (a simple movie recommendation), but didn't succeed. I >>> found >>> an implementation on Spark 1.1.x >>> ( >>> https://github.com/ankurdave/spark/blob/GraphXALS/graphx/src/main/scala/org/apache/spark/graphx/lib/ALS.scala >>> ) >>> of ALS on GraphX, but it is painfully slow compared to the standard >>> implementation, and uses the deprecated (in the current version) >>> PregelVertex class. >>> Do we expect a new implementation ? Is there a smarter solution to do so >>> ? >>> >>> Thanks, >>> Regards, >>> Timothée Rebours. >>> >>> >>> >>> >>> -- >>> View this message in context: >>> http://apache-spark-user-list.1001560.n3.nabble.com/Machine-Learning-on-GraphX-tp23388.html >>> Sent from the Apache Spark User List mailing list archive at Nabble.com. >>> >>> --------------------------------------------------------------------- >>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>> For additional commands, e-mail: user-h...@spark.apache.org >>> >>> >> > > > -- > Timothée Rebours > 13, rue Georges Bizet > 78380 BOUGIVAL >
