Uses Google Books API to create a list of top 10 similar books based on a user-inputted prompt
This is a Basic but Strong Book Recommendation API made with Flask by HIRANMAY ROY using Kaggle Database
This project is a rest-api that recommend books for user
This project develops a Book Recommendation System using collaborative filtering with the Nearest Neighbors (NN) algorithm. The system recommends books by identifying similarities in a user-item matrix, suggesting titles that align with a user's preferences based on historical interactions.
This is a Book Recommendation Suite that recommends a book based on the comments/reviews given by the other users, not number of stars, but textual understanding decides the "likability" of a particular book and then matching with the user's liking.
This project aims to build a Collaborative Filtering-Based Recommender System for suggesting books to users.
사용자 선택 기반 도서 추천 웹사이트.
Book recommender command-line application.
Movie-Book Cross-Domain Recommender System: Database based application that provides the user with recommendations of movies on the basis of the movies, books and genres explored and rated by him/her
Powerful book recommender using Large Language Models (LLMs) and semantic vector search. It analyzes book descriptions to recommend contextually and emotionally similar titles. Includes zero-shot classification and an interactive Gradio interface for seamless user experience.
This project showcases the top 50 popular books based on user ratings and reviews. Users can input a book title, and the system recommends 4 related books based on similarity. The Flask web interface displays book titles, authors, ratings, and images for easy exploration.
A Book Recommendation System based on Collaborative Filtering using Embedding layer to map the ratings given by similar users to the books.
Machine Learning with Python solutions
A LIMS(library information management system) which recommends book using apriori algorithm.
Book Recommendation System
In this project, with Pearson correlation, book recommendation algorithm builded to make recommendation between users by their ratings.
Book Recommendation | Collaborative Filtering
A smart recommendation system that uses Twitter Sentiment Analysis and Genre Mapping to suggest books and movies tailored to a user’s emotional tone.
A Flask-based book recommendation system that suggests similar books using collaborative filtering and precomputed similarity scores.
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