Movie_buff: A movie recommendation system

The purpose of this movie recommendation system is to predict audience’s interest and recommend them new movies accordingly.

Importance of recommendation system

On the Internet, where the number of choices is overwhelming, there is need to filter, prioritize and efficiently deliver relevant information in order to alleviate the problem of information overload, which has created a potential problem to many Internet users. Recommender systems solve this problem by searching through large volume of dynamically generated information to provide users with personalized content and services.

"Movie_Buff" is based on Content Based Filtering.

• Content-based filtering is a type of recommender system that attempts to guess what a user may like based on that user's activity. Content-based filtering makes recommendations by using keywords and attributes assigned to objects in a database (e.g., items in an online marketplace) and matching them to a user profile.

Functionalities and Features of Movie_Buff:

Home Page
Recommendation page
Recommended Movies
Contact page
About

Tech Stack

Run Locally

Clone the project

bash git clone https://github.com/Kedyi/Movie_Buff.git

Go to the project directory

bash cd Movie_Buff

Start the server

bash Flask --app app run

Future Scope

• Improving UI for recommendation page
• Review section
• Make contact page funtional