Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: scikit-surprise
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: 0 Bytes - Last synced: 25 days ago - Pushed: 25 days ago - Stars: 0 - Forks: 0
RyanDsilva/machine-learning-starters
Common Machine Learning Examples :computer:
Language: Python - Size: 7.27 MB - Last synced: about 1 month ago - Pushed: about 5 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: 7 months ago - Pushed: about 3 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: 7 months ago - Pushed: 7 months 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: 10 months ago - Pushed: about 6 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: 11 months ago - Pushed: over 6 years ago - Stars: 24 - Forks: 6
tamccullough/recipeeze
RECOMMENDER for allrecipes.com. Using Scikit-Surprise
Language: Jupyter Notebook - Size: 88.1 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 1
Ohmdatazwld5/Movies-Recommendation-using-SVD
Movie Recommendation using SVD Algorithm
Language: Jupyter Notebook - Size: 25.4 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
sheezer/Data-Projects
A repository containing various projects and microprojects.
Language: Jupyter Notebook - Size: 89.1 MB - Last synced: 12 months ago - Pushed: 12 months 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: over 1 year ago - Pushed: about 2 years ago - Stars: 4 - Forks: 1
chiksumwong/recommendation_system 📦
Python Recommendation System
Language: Python - Size: 51.8 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0
skaty5678/Book-recommendation-system
Recommend books using various machine learning algorithms.
Language: Jupyter Notebook - Size: 3.06 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0
rahulduttt/product-recommender-streamlit
Simple Recommender System built using the Scikit Surprise Library. The application provides recommendations based on Amazon Products Reviews.
Language: Jupyter Notebook - Size: 79 MB - Last synced: over 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1
tamccullough/movieeze
RECOMMENDER for films >= 2010. Uses Scikit-Surprise.
Language: Jupyter Notebook - Size: 97.8 MB - Last synced: over 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0