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I need to train a recommender system on some movie recommendation data. The thing is, I wanted to use a random forest for the model, since I know you can print a feature hierarchy, after training. I've been doing some reading and it seems that this type of data is usually sparse, and random forests have a problem with sparse data. What model should I use for my recommender, and, most importantly, how can I then rank the features in the data based on how important they are to the model, after training?

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