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0xabdo404/movie-recommendation-system

AI model by 0xabdo404

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This is a Content-Based Movie Recommender System that suggests movies similar to the one you select. It uses Natural Language Processing (NLP) techniques to analyze movie metadata and return recommendations based on cosine similarity. The goal of this project is to build a practical movie recommendation\ engine that can answer: The system uses a Content-Based Filtering approach. Instead of\ depending on ratings from other users, it analyzes the characteristics\ of each movie and compares them with the selected movie. The recommendation process is based on: and routes This project uses Content-Based Filtering. Each movie is represented using a combined text description created from\ relevant metadata, such as: The text is then converted into numerical features using\ CountVectorizer. There are three common recommendation approaches: Recommends items that are similar to items based on their features or\ characteristics. Used in this project. Example: Recommends items based on the behavior and preferences of…

0xabdo404/movie-recommendation-system on Hugging Face A short preview, not the full document.

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  1. 🎬 Movie Recommendation System
  2. 📌 Project Overview
  3. ✨ Key Features
  4. 🧠 Recommendation Approach
  5. Recommendation Pipeline
  6. 🔍 Types of Recommender Systems
  7. 1. Content-Based Filtering
  8. 2. Collaborative Filtering
  9. 3. Hybrid Recommendation
  10. 📊 Dataset
  11. Main Metadata Used
  12. Data Source

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0xabdo404/movie-recommendation-system is a task-unspecified model repository published by 0xabdo404 on Hugging Face. A library was not reported.

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Created
2026-10-07T06:33:17.000Z
Last modified
2026-10-07T06:33:18.000Z

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