Hi, I am not noticing any DSGD implementation of ALS in Spark.
There are two ALS implementations. org.apache.spark.examples.SparkALS does not run on large matrices and seems more like a demo code. org.apache.spark.mllib.recommendation.ALS looks feels more robust version and I am experimenting with it. References here are Jellyfish, Twitter's implementation of Jellyfish called Scalafish, Google paper called Sparkler and similar idea put forward by IBM paper by Gemulla et al. (large-scale matrix factorization with distributed stochastic gradient descent) https://github.com/azymnis/scalafish Are there any plans of adding DSGD in Spark or there are any existing JIRA ? Thanks. Deb
