Content based (Attribute) recommender system

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?