https://github.com/harshitaphadtare/moive-recommender-system

https://github.com/harshitaphadtare/moive-recommender-system

Last synced: 3 days ago
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• Host: GitHub
• URL: https://github.com/harshitaphadtare/moive-recommender-system
• Owner: harshitaphadtare
• Created: 2023-10-24T08:33:11.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-13T20:08:28.000Z (11 months ago)
• Last Synced: 2023-12-13T21:58:29.668Z (11 months ago)
• Language: Jupyter Notebook
• Size: 8.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# movie recommender system

The following steps outline the methodology behind the Movie Recommender System:

Data Collection - Gather comprehensive data on movies, including attributes such as genre, plot summaries, and other relevant features.

Vectorization - Transform movie descriptions into high-dimensional vectors using advanced vectorization techniques. This step ensures a numerical representation of textual data for efficient analysis.

Stemming -  Apply stemming to each word in movie descriptions, reducing them to their root form. This process simplifies the comparison of textual information and improves the system's ability to identify commonalities.