Abstract
Movie Recommendation System is an open-source AI & Machine Learning project. A movie recommendation system given by user data, movie data and social data. It is built using Java. The complete source code is publicly available on GitHub under the GNU General Public License v2.0, making it a useful reference for students building an AI & Machine Learning mini project or final-year project.
1. Introduction
A movie recommendation system given by user data, movie data and social data... This is a movie recommendation system. The algorithm comes from paper "Social Filtering Using Social Relationship for Movie Recommendation", I just implement the idea in it and apply it in practice.The project is very small, if there are some wrong or some new ideas, do not hesitate to email me(lanxuezaipiao@163.com).
2. Objective
A movie recommendation system given by user data, movie data and social data...
This project demonstrates how Java can be applied to a real-world AI & Machine Learning problem.
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- JDK 11 or later
- Maven / Gradle
- IntelliJ IDEA, Eclipse or Android Studio
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/lanxuezaipiao/movie-recommendation-system.git
cd movie-recommendation-systemFull setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Deploy the model as a web app with Streamlit, Flask or FastAPI
- Compare against an additional model and report the metric difference
- Add explainability (SHAP / Grad-CAM)
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- What dataset does the project use and how was it pre-processed?
- Which algorithm / model architecture is used and why was it chosen over alternatives?
- How are training and testing data split, and how is overfitting avoided?
- Which evaluation metrics (accuracy, precision, recall, F1) are reported and what do they mean here?
- How would you deploy this model for real users?
9. Source Code & License
This project is developed by lanxuezaipiao and published on GitHub under the GNU General Public License v2.0. Please follow the license terms and credit the original author when you use or modify this code.
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