I have never used Mahout, so cannot compare the two. Spark MLlib, however, provides matrix factorization based Collaborative Filtering <http://spark.apache.org/docs/latest/mllib-collaborative-filtering.html> using Alternating Least Squares algorithm.
Also, Singular Value Decomposition is handled by MLlib under Dimensionality Reduction <http://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html> portion and Pearson/Spearman correlation is provided under Basic Statistics <http://spark.apache.org/docs/latest/mllib-statistics.html> . -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-MLlib-instead-of-Mahout-collaborative-filtering-model-tp23919p23934.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
