Enhanced Movie Recommendation System with 90%+ Accuracy and Scalable Dataset Integration

[biswajeetyadavv]

🎉 Project-Guidance Contribution! 🎈

🎯 Have you reviewed the Contributing Guidelines?

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📝 Description

I have upgraded the Movie Recommendation System code to achieve over 90% accuracy while retaining all existing features.

The improvements are organized in a newly created folder:
Machine Learning and Data Science/Basic/Movie Recommendation System/upgraded movie recommendation system.

This ensures the original system remains untouched, and the enhanced version is easily accessible.

Key updates include:

• Improved algorithms and methods for recommendation accuracy.
• Uploaded a new dataset containing 5,000 movies, which is used in the updated code.
• Added proof of accuracy in the final cell of the code to demonstrate results.

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🚀 Upcoming Features

I plan to deploy this system on a live website in the future to make it more accessible.

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🔧 Fixes #1633

This contribution addresses issue #1633 by enhancing the Movie Recommendation System to improve scalability and accuracy for larger datasets.

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🏷️ Initiative Participation (Required)

This pull request aligns with the following initiative:

• 🌸 GSSoC (Girl Script Summer of Code)
• 🌼 GSSoC 2024 Extd.
• 🍂 Hacktoberfest 2024
• ❄️ Script Winter of Code (SWoC)
• ⛄ Winter of Blockchain (WoB)
• 🙋‍♂️ Personal
• 📌 Other: This repository was introduced via GSSoC, but this is now a peer-to-peer contribution for personal learning and growth.

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📊 Proof of Accuracy and Code

I’ve attached a visual proof of the achieved accuracy. The results demonstrate improved performance, particularly on larger datasets:

[github-actions]

@biswajeetyadavv

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