https://github.com/abduibasit/anime-recommendation-system

A recommender system that recommends anime shows based on similarity of genres, the system employs Sklearn tfidfvectorizer module and cosine similarity to recommend most similar anime shows in a content-based filtering technique
https://github.com/abduibasit/anime-recommendation-system

Last synced: 3 months ago
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A recommender system that recommends anime shows based on similarity of genres, the system employs Sklearn tfidfvectorizer module and cosine similarity to recommend most similar anime shows in a content-based filtering technique

• Host: GitHub
• URL: https://github.com/abduibasit/anime-recommendation-system
• Owner: abduIbasit
• Created: 2022-10-16T22:20:21.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-17T22:32:16.000Z (over 2 years ago)
• Last Synced: 2025-01-16T04:43:38.972Z (4 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 14.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Anime-Recommendation-System

Sequel to conducting an analysis of anime shows where I analyzed all anime shows till date and created a dashboard that provides insights on relevant information of anime shows. I took a further advanced step and built a machine learning recommendation system. The recommendation system is a python function code that return similar anime suggestions on basis of genre similarity. The system mainly employs use of sklearn.