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threadbuilder / Cooccurrence Analysis Prototype
Last active August 29, 2015 14:09 — forked from sscdotopen/Cooccurrence Analysis Prototype
package org.apache.spark.examples
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.rdd.RDD
import java.util.Random
import scala.collection.mutable
import org.apache.spark.serializer.KryoRegistrator
import com.esotericsoftware.kryo.Kryo
@threadbuilder
threadbuilder / Cooccurrence Analysis Prototype
Last active August 29, 2015 14:09 — forked from samklr/Cooccurrence Analysis Prototype
package org.apache.spark.examples
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.rdd.RDD
import java.util.Random
import scala.collection.mutable
import org.apache.spark.serializer.KryoRegistrator
import com.esotericsoftware.kryo.Kryo
@threadbuilder
threadbuilder / MovieSimilarities.scala
Last active August 29, 2015 14:08 — forked from MLnick/MovieSimilarities.scala
import spark.SparkContext
import SparkContext._
/**
* A port of [[http://blog.echen.me/2012/02/09/movie-recommendations-and-more-via-mapreduce-and-scalding/]]
* to Spark.
* Uses movie ratings data from MovieLens 100k dataset found at [[http://www.grouplens.org/node/73]]
*/
object MovieSimilarities {