GitHub topics: scikit-surprise

Repositories

Bhasha03/scikit-surprise

Having trouble installing the surprise package for your recommendation system project? Don’t worry!

Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

docsallover/music-recommendation

Machine Learning Music Recommendation System: Hybrid Approach (Content & SVD) with Flask

Language: Python - Size: 4.08 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Trung-Dan-Phan/manga_recommender_system

Manga Recommender Systems based on Anilist API

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

brayvid/recommend-recipes

Pantry-based recipe recommendations.

Language: Python - Size: 148 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sayande01/Book_Recommender_System_Machine_Learning

This project aims to build an advanced book recommendation system by integrating collaborative filtering, content-based filtering, and machine learning. It offers tailored suggestions based on user preferences and interactions, using EDA for insights and cosine similarity and SVD for precise recommendations.

Language: Jupyter Notebook - Size: 402 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

leewanxian/wine_recommender

A Wine Recommender System (My Capstone project for Data Science Immersive course)

Language: Jupyter Notebook - Size: 21.7 MB - Last synced at: about 22 hours ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 2

amolratnaparkhe/Foodfinder-Recommendation-System

Food Finder: An interface for a multi-user recommendation system.

Language: Jupyter Notebook - Size: 827 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

angad-singh97/Timestamp-Reranking-Movie-Recommender

This project is a movie recommender engine written using Python and the Scikit-Surprise libraries to generate better movie recommendations by utilizing temporal user interactiondata.

Language: Python - Size: 2.97 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hmc-cs-azhao/158-recommender-system

Recommender system that applies a user-to-user collaborative filtering algorithm on the MAL dataset to recommend anime for users.

Language: Python - Size: 3.83 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

rakshita95/Book-Recommendation-System

Personalized book recommender system to generate top 5 recommendations to users

Language: Jupyter Notebook - Size: 4.3 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 24 - Forks: 6

tamccullough/recipeeze

RECOMMENDER for allrecipes.com. Using Scikit-Surprise

Language: Jupyter Notebook - Size: 88.1 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

Ohmdatazwld5/Movies-Recommendation-using-SVD

Movie Recommendation using SVD Algorithm

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

sheezer/Data-Projects

A repository containing various projects and microprojects.

Language: Jupyter Notebook - Size: 89.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

rochitasundar/Collaborative-Filtering-Book-Recommendation-System

This project aims to build & optimise a book recommendation system based on collaborative filtering and will tackle an example of both memory based & model based approach (using KNNWithMeans & Singular Value Decomposition)

Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1