Package org.apache.spark.graphx.lib

Class SVDPlusPlus

Object

org.apache.spark.graphx.lib.SVDPlusPlus

public class SVDPlusPlus
extends Object

Implementation of SVD++ algorithm.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	SVDPlusPlus.Conf	Configuration parameters for SVDPlusPlus.

Constructor Summary

Constructors

Constructor	Description
SVDPlusPlus()

Method Summary

Modifier and Type	Method	Description
static scala.Tuple2<Graph<scala.Tuple4<double[],double[],Object,Object>,Object>,Object>	run(RDD<Edge<Object>> edges, SVDPlusPlus.Conf conf)	Implement SVD++ based on "Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model", available at here.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

SVDPlusPlus

public SVDPlusPlus()

Method Details

run

public static scala.Tuple2<Graph<scala.Tuple4<double[],double[],Object,Object>,Object>,Object> run(RDD<Edge<Object>> edges,
 SVDPlusPlus.Conf conf)

Implement SVD++ based on "Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model", available at here.

The prediction rule is rui = u + bu + bi + qi*(pu + |N(u)|^^-0.5^^*sum(y)), see the details on page 6.

Parameters:

edges - edges for constructing the graph

conf - SVDPlusPlus parameters

Returns:

a graph with vertex attributes containing the trained model