Cinema Social Media with Recommendation System

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Technologies

list of technologies that has been used in this project.

Backend

• Django
  • Server
• Postgresql
  • Database
• Celery
  • Task Queue for handling periodic tasks that generate required data
• Redis
  • Message Broker for Celery
• djangorestframework
  • REST API

Frontend

• VueJs V2
  • Client App
• Vuex
  • State Management
• Vue-Router
  • Vue Router!
• Vuetify
  • UI Library with beautifully handcrafted Material Components

Algorithms

In this project the recommender systems has been implemented using Collaborative Filtering. Similarity Score between uesrs and between movie calculated using Pearson Correlation Coefficient.

Features

In this project two instance of recommender has been implemented.

• global recommender: uses the user's ratings to calculate its data
• friends recommender: uses the user's friends' ratings to calculate its data

each have a set of features:

• Global
  • Recommendation List: list of 10 top movies based on Estimated Rating
  • Movie Estimated Rating: based on user's ratings
  • Similar Movies: list of 10 most similar movies
  • User Taste Group: list of 100 people with most similar taste to the user
• Friends
  • Recommendation List: list of 10 top movies base on Estimated Rating
  • Movie Estimated Rating: based on user's freinds' ratings

Screenshots

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Home Page

here you can see two list of recent reviews. and also two panels for list of recommendation from each recommender.

Movie Page

here you can see movie details, add a review or view list of others reviews for this movie.

Movies List

here you can search and filter list of all the movies in site.

Reviews Page

in this page you can view details of a review, edit it if its your, comment on it or reply to other comments.

Users Profile

here you can view users info.