I am building a movie recommender. But unlike common recommender from movielens data, features of my movies are sets like actor list, genre list, list of producers and writers etc.
I know I can use Jaccard similarity to find similarity of 2 movies on one feature but I cant figure out how to combine these features to find similarities.
I have a thought of taking the weighted sums of features' similarity for final similarity but I cant figure out how to learn the weights.
How can I form clusters of movies? How can one improve or find a way around the suggested method above?