https://github.com/thegupta2012/backend-movierecsys

The application for query processing and recommendation of a Movie Recommendation System
https://github.com/thegupta2012/backend-movierecsys

flask python recommendation-system

Last synced: 2 months ago
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The application for query processing and recommendation of a Movie Recommendation System

• Host: GitHub
• URL: https://github.com/thegupta2012/backend-movierecsys
• Owner: TheGupta2012
• License: mit
• Created: 2021-01-08T08:32:33.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-02-27T12:29:15.000Z (over 5 years ago)
• Last Synced: 2025-02-06T22:23:43.582Z (over 1 year ago)
• Topics: flask, python, recommendation-system
• Language: Jupyter Notebook
• Homepage: https://movie-recsys.herokuapp.com/movie?query=
• Size: 21.6 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# backend-MovieRecsys

:large_orange_diamond: This is the application involving the query processing for a Movie and Series Recommendation System.

## BASIS

- Content and meta data based recommender

- Count Vectorization and cosine similarities, amongst the dataset, used for base model

## **QUERY STRUCTURE** :point_down:

> BASE LINK : https://movie-recsys.herokuapp.com/movie?query=

  - The *query* parameter present in the link serves as the link to the API 

  - Any query is written after the *=* sign. 

  - Ensure there is **no space** between **query and =** as it is reserved for generating default recommendations.

  - "https://movie-recsys.herokuapp.com/movie?query=ShahRukhKhan"

- You may type any actor, actress, movie or genre to get recommendations for similar movies or series

- The query doesn't really have to be absolutely correct, Leo Di Caprio also works for Leonardo Di Caprio 

- :sparkles: See for yourself - [Leo](https://movie-recsys.herokuapp.com/movie?query=Leodicaprio) and [Leonardo](https://movie-recsys.herokuapp.com/movie?query=LeonardodiCaprio) (obviously some randomization in results to make it fun!)

- EXAMPLES

  - *Getting recommendations similar to Interstellar* : [Interstellar](https://movie-recsys.herokuapp.com/movie?query=Interstellar)

  - *Getting recommendations similar to Movies of Christopher Nolan* : [Christopher Nolan](https://movie-recsys.herokuapp.com/movie?query=ChristopherNolan)

  - *Getting recommendations for thriller movies* : [Thriller](https://movie-recsys.herokuapp.com/movie?query=thriller)

### :construction: To - Do 

  - Make a website accessing this API for recommendations 

  - Use an Image API to fetch recommendation images and display on website

  - **SOME TWISTS IMINENT** :wave: