#1 Project Overview – Movie Recommendation System Utilizing Python


Utilizing data as a tool in order to giving the effective suggestion of human activities in the 4.0 modern life allows users save a ton of time for similar research. We aren’t certainly strangers to recommendation algorithms on YouTube or Facebook, which always shows us the list of video suggestions or posts/pages based on what we already watched or liked. Ignoring the personal privacy matters, I think it is an intelligent tool for both companies in marketing and users in making easier choice. My project is about building a content-based movie recommendation system utilizing Python language and SQL.

In this project, I plan to use the dataset from Full MovieLens Dataset including 45.000 movies featured, that I will use for analyzing and manipulating in order to build the system. For content-based recommendation system, we will give the users some suggestions of movies based on what they already watched. In other words, we will track users’ interesting in genres (romantic/horror/humor) of films, from that we attempt to predict what they might like. For now, I am not sure about which specified packages I will use in Python. I am still learning and doing research since it is pretty new to me. But believe me, I will update my progress soon. 

Here are some references that I might use to complete my project:

1.      Python Recommender Systems: Content Based & Collaborative Filtering Recommendation Engines - DataCamp

2.      Recommendation-System/Movie Recommendation System.ipynb at master · kapilthakre/Recommendation-System · GitHub

3.      Movie Recommendation System Using Python And MySQL | by DEVARSH SHAH | Aug, 2021 | Medium

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