【Question & Answer】Item based Collaborative Filtering

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Item based Collaborative Filtering

I want to build an Item Based Collaborative Filtering model in Spark 2.0 (item-item matrix factorization). I know there is gerate support of Content Based but is there also a way to perform this on an item based approach? I'm kind of struggeling to find a good solution.

I've found a way with pearson correlation but the result I'm getting is a Correlation Matrix without any column names attached to it. Is there a way to match these i,j entries into a DataFrame where I get 3 columns like

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