I believe that in the initialization portion of GraphX SVDPlusPluS, the 
initialization of biases is incorrect. Specifically, in line 
https://github.com/apache/spark/blob/master/graphx/src/main/scala/org/apache/spark/graphx/lib/SVDPlusPlus.scala#L96
 
instead of 
(vd._1, vd._2, msg.get._2 / msg.get._1, 1.0 / scala.math.sqrt(msg.get._1)) 
it should be 
(vd._1, vd._2, msg.get._2 / msg.get._1 - u, 1.0 / scala.math.sqrt(msg.get._1)) 

That is, the biases bu and bi (both represented as the third component of the 
Tuple4[] above, depending on whether the vertex is a user or an item), 
described in equation (1) of the Koren paper, are supposed to be small offsets 
to the mean (represented by the variable u, signifying the Greek letter mu) to 
account for peculiarities of individual users and items. 

Initializing these biases to wrong values should theoretically not matter given 
enough iterations of the algorithm, but some quick empirical testing shows it 
has trouble converging at all, even after many orders of magnitude additional 
iterations. 

This perhaps could be the source of previously reported trouble with 
SVDPlusPlus. 
http://apache-spark-user-list.1001560.n3.nabble.com/GraphX-SVDPlusPlus-problem-td12885.html
 

If after a day, no one tells me I'm crazy here, I'll go ahead and create a Jira 
ticket. 

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