The Book Recommendation System provides personalized book suggestions using Popularity-Based Recommender, Collaborative Filtering, and Cosine Similarity. Implemented with Flask, it allows users to enter a book title and receive tailored recommendations based on their preferences.

Book Recommendation System - Unsupervised

The Book Recommendation System is designed to assist users in discovering books that align with their personal interests and reading habits. This system aims to address the challenge of information overload. The combination of a robust recommendation engine and an intuitive user interface ensures that users have a seamless experience.

This project explores diverse "Recommendation Techniques", each offering a distinct approach to predicting user preferences.

This project aims to develop a robust book recommendation system using Python and Flask . Leveraging extensive datasets of book information and user interactions, the system employs advanced machine learning algorithms like collaborative filtering to provide personalized recommendations.

Movie Recommendation System using Popularity, Content and Collaborative Based Recommendation methods

This is my Sem 7 NLP Lab Project . For complete details, kindly check below README File.

Book Recommendation System

This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.

Suggestify-RecommendationSystems is a dedicated repository for implementing and experimenting with traditional recommendation system techniques. It covers collaborative filtering, content-based methods, and hybrid approaches, focusing on practical and scalable solutions for personalised recommendations across various domains.

Book Recommendation System

App that recommends insurance products based on popularity, content and user similarity.

Research and Development of a Product Recommendation System using Deep Matrix Factorization

This is my Sem 7 ML Lab Project. For complete details, kindly check the below README File.