Book Recommender System

• Tech Stack: Python, PyTorch, Pandas
• Algos: Embeddings, Neural Networks
• Notebook URL: View on Github
• Code URL: View on Github

This book recommender system utilizes the Goodreads ratings data to predict a user's book preferences. The system leverages embedding layers to capture the relationships between books and users, and applies fully-connected neural networks for the prediction. By training on large amounts of data, the system is able to provide personalized book recommendations to users based on their reading history and preferences.