Movie Recommendation

How to create Movie Recommendation System

How to create Movie Recommendation System

In this notebook, I will try to use a few recommendation algorithms (content-based, popular-based and shared filters) and try to build a collection of these models to come up with our final movie recommendation system. For us, we have two MovieLens data sets. Full Data Set: Contains 26,000,000 ratings and 750,000 tag requests applied to 45,000 movies by 270,000 users. Includes genome tag data with 12 million affiliate scores on 1,100 tags.Small Data Set: Includes 100,000 ratings and 1,300 tag applications applied to 9,000 movies by 700 users.I will create a Simple Recommendation using movies from the Full Database while…
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How to create a simple movie recommendation System

How to create a simple movie recommendation System

Introduction This part of the Content Editor Internship ” “Every time I go to a movie, it's magical, no matter what the movie is about. - Steven Spielberg Everyone loves movies regardless of age, gender, race, color, or location. We are all in some way connected to each other in this amazing way. But most interesting is the fact that our choices and combinations are different in terms of our preferences. Some people like movies that are specific to the genre, be it entertaining, romantic, or sci-fi, while others focus on the main characters and directors. Considering all of that,…
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