A Netflix movie database

A movie database system implemented with MySQL and React.js.

About

[GitHub]
This is the Final Project for CIS 5500 Databases and Information Systems, a webpage for users to search information and statistics about Netflix Movies and/or TV series, as well as casts and crews.

Main contributors:

  • Backend: Liancheng Gong, Jinyun Shan
  • Frontend: Zhaoze Wang, Xinran Wang
  • Project TA: Jason Hom

How to Use

  • Run npm install in both the ./client and ./server folders, to download dependencies
  • Run npm start in ./client to start the frontend server, run npm start in ./server to start the backend server
  • The frontend server is running on http://localhost:3000, the backend server is running on http://localhost:8080

Major Features

  • Preprocess.ipynb is the Jupyter Notebook for data preprocessing

  • Home Page

    • Recommended movies are shown as rolling posters
    • Interactive statistics display for “Top 5 Genres with Most High-Rated Movies”, “Movie Average Rating Over Time by Genre”, and “Movie Average Runtime Over Time by Genre”
    • Tabular display of top movies/series, top casts, top directors and top writers, based on the highest average ratings

  • Movie Page

    • Can filter on the range of release year, range of runtime, whether or not the movie is adult-only, and the genre
    • Support ascending and descending sort on release year, runtime and average rating fields

  • Cast and Crew Page

    • 3 types of searches, respectively for finding cast (actor/actress), writer, and director
    • For casts, can filter on the sex, range of birth year, range of average rating, and number of movies acted
    • For writers and directors, can filter on the range of birth year, range of average rating, number of movies written/directed, and the specific genre of their work
    • Support ascending and descending sort on birth year, death year, number of movies/series and average rating fields

Video Demo

YouTube Link

Datasets for this Project

  1. Netflix Prize Data: It includes two files: combined_data.txt and movie_titles.csv. The combined_data.txt file contains information on movie ratings, including the movie ID, customer ID, rating, and date. The movie_titles.csv file contains information on the movie ID, year of release, and title.

  2. IMDB Dataset: It is a large dataset that contains the reviews, cast information, crews, genres, and ratings of over 50,000 of movies and tv series. The dataset contains 7 data files: “title.akas.tsv”, “title.basics.tsv”, “title.crew.tsv”, “title.episode.tsv”, “title.principals.tsv”, “title.ratings.tsv”, and “name.basics.tsv”. As we intend this project to provide users with Netflix TV series and movies rating statistics, we will primarily focus on using “title.akas.tsv”, “title.basics.tsv”, “title.episode.tsv”, “title.ratings.tsv”, “name.basics.tsv”.

  3. 48K IMDB Movies With Posters: It includes images with the IMDB movie identifiers, so that we can use these images for frontend display.