The input file is of format: userid, movieid, rating >From this plan, I want to extract all possible combinations of movies and difference between the ratings for each user.
(movie1, movie2),(rating(movie1)-rating(movie2)) This process should be processed for each user in the dataset. Finally, I would like to find the average disagreement of movies for the user. (movie1, movie2), average difference between ratings How do I do the same in python? I did write a code for Hadoop Streaming, but having a real hard time converting it to Spark compatible code. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-to-add-all-combinations-of-items-rated-by-user-and-difference-between-the-ratings-tp22268.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
