In today’s technology driven world, recommender systems are socially and economically critical for ensuring that individuals can make appropriate choices surrounding the content they engage with on a daily basis. One application where this is especially true surrounds movie content recommendations; where intelligent algorithms can help viewers find great titles from tens of thousands of options.

Movies and webseries data is one of today's popular datasets for OTT Recommendation. Dataset contains multiples columns like title, userID, year, kind, genre, vote, country, language, etc, of rating as the attributes for recommendation . 


#About

Club of Programmers IIT(BHU) Varanasi is back with Ctrl Shift Intelligence, the Machine Learning event of COPS Week 2022 exclusively for machine learning enthusiasts. In this year's competition, the task will be to construct a recommendation algorithm based on content or collaborative filtering, capable of accurately predicting how a user will rate a movie they have not yet viewed based on their historical preferences.

###Some general guidelines:

There will be a public leader board and a private leader board.
After the competition the top performers will be asked to submit the code of their machine learning algorithm. Final standing will be evaluated only after the code evaluation.
Use of any external dataset is not allowed. The participants must only work with the dataset provided.
Note that predictions have to be made on test data.
You can participate in teams having max size of 2 members.