eylulozatman/bookRecSystemSurprise

collaborative filtering project was developed using surprise library. It provides user based and item based search. It calculates similarity score and offers suggestions.

Language: Python - Size: 4.03 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Whomrx666/X-stupidity

X-stupidity is a surprise tool which you will know the contents of when you install it

Language: Python - Size: 1.88 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 7 - Forks: 0

KennedyOwinoJnr/Library-web-app

In this project, we develop a fully functional web application for a library recommendation system. Users can register, create and manage profiles, write and manage blog reviews on their reading experiences, and share their writings with the world. The app includes a comprehensive UX/UI, encompassing all features from the original project vision.

Language: Python - Size: 139 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ikajdan/collaborative_filtering_benchmarking

Benchmarks of collaborative filtering techniques and optimizing K-NN and SVD for recommendation accuracy

Language: Python - Size: 1.03 MB - Last synced at: 2 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

farzanmrz/recommender-amazon-reviews

🛍️ Amazon Recommender 🚀 Exploring machine learning for e-commerce personalization with Amazon's Electronics data, using SVD and KNNBaseline algorithms to predict user preferences.

Language: Jupyter Notebook - Size: 161 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

nits2612/Data-Science-Projects

Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.

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SAKET-SK/Building-a-Recommendation-Engiene-Course

Building a Recommendation engine course walkthrough. IDE used :- Spyder ; Environment name :- RecSys (created in Anaconda Navigator) ; Python Package used :- Surprise ; Tutor :- Frank Kane, Sundog Education

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

virendhanwani/AnimeRecommendationSystem

Language: Jupyter Notebook - Size: 253 KB - Last synced at: 9 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

sarthak71/Item-Recommender

A generalized items recommender that lists out top 5 recommendations based on users with similar choices.

Language: Jupyter Notebook - Size: 48.7 MB - Last synced at: 9 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

unclebrod/YelpRecommender

The goal of this project was to build an explicit recommender system using collaborative filtering for restaurants in Charlotte using Yelp's Open Dataset. I wanted to explore the mechanics of recommendations systems, and explore a new library in Surprise.

Language: Jupyter Notebook - Size: 15.1 MB - Last synced at: 9 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

Adarsh79/Recommender-System

This app analyzes ratings to suggest ideal products for e-commerce platforms. Upload your data, explore user trends, and train a model to predict what your customers will love!

Language: Jupyter Notebook - Size: 7.58 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

emanuelneziraj/recommenders_gai_surprise

This repository contains the source code and documentation for a Bachelor's thesis project that explores two different approaches to developing a movie recommendation system.

Language: Python - Size: 2.03 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Dacker15/python-reccomendation

An overview of reccomendation systems in Python

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tanyakuznetsova/Music_Mental_Health

Harnessing music's power for better mental health: genre recommendations and data-driven analysis of listeners' trends

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aliceagrawal/HM-Recommender-System-App

Built a collaborative filtering and content-based recommendation/recommender system specific to H&M using the Surprise library and cosine similarity to generate similarity and distance-based recommendations.

Language: Jupyter Notebook - Size: 130 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 4

fujun0406/movie_recommendation_with_surprise

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

thislawyercodes/Film-Recommendation-system

A Collaborative filtering recommendation system

Language: Python - Size: 1000 Bytes - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

FREDRICKKYEKI/Data-Science-Phase-4-Project

Phase 4 project of the Flat Iron curriculum of Data Science in Moringa School

Language: Jupyter Notebook - Size: 129 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 2

mldk-tech/recommender-systems

MovieLens recommended system project

Language: Python - Size: 60.5 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

camcochet/iGSLR-Personalized-Geo-Social-Location-Recommendation

Implementation of the model iGSLR

Language: Jupyter Notebook - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

Gruz2520/rec_system_collab_filtering

Collaborative filtering based recommender system using the surprise library

Language: Jupyter Notebook - Size: 441 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

melodygr/grocery_recommendation

Grocery Recommendation on Instacart Data

Language: Jupyter Notebook - Size: 190 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 16 - Forks: 14

edohgoka/Recommendation_Systems

Recommendation Systems

Language: Jupyter Notebook - Size: 2.87 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

azury74/HotelRecomendationSystem

This program combines several recommendation approaches in order to predict and display to users recommendations of hotels located in the Paris area.

Language: HTML - Size: 6.34 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

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

prabhj/Smm_Recommendation_System

Language: Jupyter Notebook - Size: 189 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

TEAM-URS/Hybrid-Recsys

울산 맛집,카페/명소 추천 시스템

Language: Jupyter Notebook - Size: 352 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

prakruti-joshi/Movie-Recommendation-System

Designed a movie recommendation system using content-based, collaborative filtering based, SVD and popularity based approach.

Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 13

JuliaRecsys/Surprise.jl

Suprise-Python Wrapper for Persa.jl

Language: Julia - Size: 28.3 KB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1

danielchristopher513/Hybrid_Movie_Recommendation

Language: Jupyter Notebook - Size: 349 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

klaudia-nazarko/collaborative-filtering-python

This repository contains collaborative filtering recommender system build in Python with surprise package to predict book ratings in Book-Crossing dataset.

Language: Jupyter Notebook - Size: 3.13 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 19 - Forks: 7

Luis-Palacios/movie-recommendations

Repository to demonstrate how to use machine learning to generate recommendations

Language: Jupyter Notebook - Size: 46.5 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

jacobceles/Movie-Recommendation-Rating-Prediction

Using the MovieLens dataset with Surprise to compare different algorithms for rating prediction, and also create a movie recommendation system on top of it.

Language: Jupyter Notebook - Size: 3.83 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

artisan1218/Recommendation-System

Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity

Language: Python - Size: 63 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1

sheetalbongale/Recommender-Systems-Machine-Learning

Exploring Recommender Systems using various Machine Learning Models like scikit-learn, Surprise, NLP and collaborative filtering using KNN and Tensorflow.

Language: Jupyter Notebook - Size: 25.9 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3

timbergrizz/simple_movie_recommendation_service

기본적인 Recommendation System을 갖춘 REST API 서버와, 이를 표현하기 위한 간단한 프론트엔드를 구현한 페이지입니다.

Language: Python - Size: 47.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

giulio-derasmo/Page-Rank-and-Recommendation-Systems

Use the Scikit-Network for PageRank algorithms including Topic-specific PR and improve the performance of various recommendation-systems using Surprise library

Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

singhsidhukuldeep/Recommendation-System

Comparing different recommendation systems algorithms like SVD, SVDpp (Matrix Factorization), KNN Baseline, KNN Basic, KNN Means, KNN ZScore), Baseline, Co Clustering

Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 3

forestinblue/Recommendar-System-Restaurant

Collaborative , Contents Filtering Recommdar System

Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

shaina-12/Movie-Recommendation-System

This Project is a simplifed Movie Recommendation System

Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

apfel-das/protasis-api

A movie recommendation engine made with FastAPI and Surprise (under the 100k movielens dataset)

Language: JavaScript - Size: 33 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

victormartinez/mate65

Workshop Surprise para a disciplina MATE65 (UFBA)

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andreamanzini/RecommendationSystem

Machine Learning homework project at EPFL

Language: TeX - Size: 128 MB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

AyatKhraisat/Collaborative-Filtering-Recommender-System

Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

beatrice-trinidad/Adaptive-Systems-Project

Adaptive Systems project assignment at Universidad Politécnica de Madrid: Creating a basic Recommender System for movies with Python and Surprise library

Language: Python - Size: 2.79 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Akshatjain1999/Recommendation-System

This is a recommendation system based on Singe value Decomposition method ( Collaborative filters )

Language: CSS - Size: 3.12 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

rajtulluri/Movie-recommendation-system

A basic movie recommendation system using collaborative filtering methods on MoiveLens dataset.

Language: Jupyter Notebook - Size: 667 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

iamlmn/recommendation-system-app

Recommender System built using Python, Angular, Firebase & MySQL

Language: Python - Size: 50.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

ruxandraburtica/recommender-systems

Getting a better grasp of recommender systems

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 1

romario076/Recommendation-Systems-Tutorial

Recommendation Systems tutorial

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raissaccorreia/movieRecommender

Projeto Final de Graduação - Engenharia de Computação UNICAMP 2019. Revisão de Ténicas em Sistemas de Recomendação.

Language: Python - Size: 6.92 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

ArshiyaPathan/Airbnb-Recommendation-System Fork of DeveloperManisha/Airbnb-Recommendation-System

Recommend Airbnb Listings to the User based on reviews.

Language: HTML - Size: 11.9 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

brendasalenave/dissertacao

Código-fonte desenvolvido para implementação da parte prática referente dissertação apresentada como requisito parcial para a obtenção do grau de Mestre em Ciência da Computação.

Language: Python - Size: 421 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

GustavoDinizMonteiro/recommendation_system

Language: Jupyter Notebook - Size: 3.23 MB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0