GitHub topics: popularity-based-recommendation
MrHAM17/NLP_Powered_Book_Recommender
This is my Sem 7 NLP Lab Project . For complete details, kindly check below README File.
Language: Python - Size: 152 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
MrHAM17/Book_Recommendation_System_using_ML
This is my Sem 7 ML Lab Project. For complete details, kindly check the below README File.
Language: Python - Size: 151 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
DuyTran04/N47_HeThongGoiYSanPham
NGHIÊN CỨU VÀ XÂY DỰNG HỆ THỐNG GỢI Ý SẢN PHẨM SỬ DỤNG THUẬT TOÁN DEEP MATRIX FACTORIZATION
Language: Jupyter Notebook - Size: 80 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
AdityaSreevatsaK/Suggestify-RecommendationSystems
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.
Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
04bhavyaa/book-recommendation-system
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.
Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0
Ujjwal-Jaiswal-UJ/Personalized-Book-Recommendations-with-Cosine-Similarity
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.
Language: HTML - Size: 15.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
MNitin-Reddy/Collaborative-Filtering-based-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.
Language: Jupyter Notebook - Size: 40.8 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
NajdBinrabah/Music-Recommendation-System
This project explores diverse "Recommendation Techniques", each offering a distinct approach to predicting user preferences.
Language: Jupyter Notebook - Size: 438 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
MariahFerns/Insurance-Product-Recommender
App that recommends insurance products based on popularity, content and user similarity.
Language: Jupyter Notebook - Size: 7.55 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
nimmigopan/book_recommendation_system
Book Recommendation System
Language: Jupyter Notebook - Size: 37.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
komalreddy3/MRS1_PD
Movie Recommendation System using Popularity, Content and Collaborative Based Recommendation methods
Language: Jupyter Notebook - Size: 36.4 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
iamSobhan/book_recommendation_system
Book Recommendation System
Language: Jupyter Notebook - Size: 45.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
