Recommendation systems have become an important role in today’s digital world. During the last few decades, with the
rise of YouTube, Amazon, Netflix and many other such web services, recommender systems have taken more and more place in
our lives. From e-commerce (suggest to buyers’ articles that could interest them) to online advertisement (suggest to users the
right contents, matching their preferences), recommender systems are today unavoidable in our daily online journeys. Users get
more data related to them using these systems. Here, we are developing a recommendation system to suggest movies to users.
Keywords: Bigdata, Pyspark, Machine Learning, Recommend
