https://github.com/winterwind/moviereccomendationsystem
My personal summer project: a program that prompts the user to enter the desired genre(s) and keyword(s) and outputs a list of movies that matches that query; results print in terminal
https://github.com/winterwind/moviereccomendationsystem
beautifulsoup beautifulsoup-library beautifulsoup4 cinemagoer filesystem html-parser imdb imdb-dataset imdb-webscrapping imdbpy lxml python python3 regex requests-library terminal-based try-catch txt-files webscraping webscrapping-python
Last synced: about 1 month ago
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My personal summer project: a program that prompts the user to enter the desired genre(s) and keyword(s) and outputs a list of movies that matches that query; results print in terminal
- Host: GitHub
- URL: https://github.com/winterwind/moviereccomendationsystem
- Owner: Winterwind
- Created: 2024-08-18T21:28:43.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-08-18T21:52:36.000Z (8 months ago)
- Last Synced: 2024-10-18T13:14:44.598Z (6 months ago)
- Topics: beautifulsoup, beautifulsoup-library, beautifulsoup4, cinemagoer, filesystem, html-parser, imdb, imdb-dataset, imdb-webscrapping, imdbpy, lxml, python, python3, regex, requests-library, terminal-based, try-catch, txt-files, webscraping, webscrapping-python
- Language: Python
- Homepage:
- Size: 35.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# MovieReccomendationSystem
## A quick overview of how it works:
[MovieRecs.py](MovieRecs.py) is the main file of this project: executing it is what creates the desired effect. All other files present were simply made to facilitate this file's creation and development.
The list of genres is housed directly within this file (since said list is small), while the list of keywords is housed in the [imdb-keywords.txt](imdb-keywords.txt) file. The three other Python files along with the other txt file were made to help procure, compile, and consolidate the long list of keywords into one place. This was done with both direct web-scraping along with the imdbpy library.