✨[FEATURE] Book Recommendation System based on user preferences, ratings, and reviews

[SimranShaikh20]

The primary objective of this project is to develop a robust book recommendation system that suggests titles to users based on their preferences, ratings, and reviews. Effective recommendation systems are critical in the book industry, as they can significantly enhance user engagement and drive sales, providing a competitive edge in the market.

Methods Used

Descriptive Statistics: Analyzing the data to understand user behavior and book popularity.

Data Visualization: Utilizing visual tools to represent data distributions and relationships, helping to identify trends and patterns.

Machine Learning: Implementing algorithms to generate recommendations, including:
Collaborative Filtering (both memory-based and model-based)
Content-Based Filtering
Hybrid Models combining both approaches for improved accuracy.

Needs of This Project

Data Exploration: Skills in analyzing and visualizing data to derive insights.

Data Processing/Cleaning: Expertise in preparing data for analysis and modeling.

Recommendation System Development: Knowledge of machine learning techniques to implement and evaluate recommendation algorithms.

📝 Additional Details

@suryanshsk once you assign me work i will work on it !

[github-actions]

👋 Thank you @SimranShaikh20 for raising an issue! We appreciate your effort in helping us improve. Our team will review it shortly. Stay tuned!