I have a movielens dataset. I want to make a recommendation system based on the input but I'm having trouble doing the model transform.
# get the recommendations for the users
recommendations_df = model.transform(rated_users)
IllegalArgumentException: movieId does not exist. Available: userId
my code like this :
# create the ALS model
als = ALS(userCol="userId", itemCol="movieId", ratingCol="rating", coldStartStrategy="drop")
# fit the model to the training data
model = als.fit(training)
# get the movie input
idmovie = int(input("Enter movie ID: "))
# get the users who have rated the input movie
rated_users = ratings.filter(movie_ratings["movieId"] == idmovie).select("userId")
got error in :
# get the recommendations for the users
recommendations_df = model.transform(rated_users)
