I am a newbie to the rapid miner and trying to build a content-based (Based on 5 different attributes)movie recommender system for my dataset. For this, I am using Netflix shows a dataset from Kaggle.
However, I am stuck at the design stage. How to calculate cosine similarity scores and get recommendations. Can someone help me with this?
