Movie Recommendation with MLlib
In this chapter, we will use MLlib to make personalized movie recommendations tailored for you. We will work with 10 million ratings from 72,000 users on 10,000 movies, collected by MovieLens. This dataset is pre-loaded in your USB drive under data/movielens/large. For quick testing of your code, you may want to use a smaller dataset under data/movielens/medium, which contains 1 million ratings fr
Movie Recommendation with MLlib
In this chapter, we will use MLlib to make personalized movie recommendations tailored for you. We will work with 10 million ratings from 72,000 users on 10,000 movies, collected by MovieLens. This dataset is pre-loaded in the HDFS on your cluster in /movielens/large. For quick testing of your code, you may want to use a smaller dataset under /movielens/medium, which contains 1 million ratings fro
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How to use Scala on Spark to load data into Hbase/MapRDB -- normal load or bulk load.
https://databricks-training.s3.amazonaws.com/getting-started.html
https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
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