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Topic: "surprise-python"

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: about 2 years ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 7

melodygr/grocery_recommendation

Grocery Recommendation on Instacart Data

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

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: over 2 years ago - Pushed at: about 5 years ago - Stars: 11 - Forks: 13

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: 22 days ago - Pushed at: 24 days ago - Stars: 9 - Forks: 0

amanjeetsahu/Recommender-Systems-Using-Python

This repo contains my practice and template code for all kinds of recommender systems using SupriseLib. More complex and hybrid Recommender Systems can build on top of these template codes.

Language: Python - Size: 1.66 MB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 2

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: almost 2 years ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 4

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: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - 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: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 3

ruxandraburtica/recommender-systems

Getting a better grasp of recommender systems

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

JuliaRecsys/Surprise.jl

Suprise-Python Wrapper for Persa.jl

Language: Julia - Size: 28.3 KB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

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: over 1 year ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

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: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 3

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

Implementation of the model iGSLR

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

andreamanzini/RecommendationSystem

Machine Learning homework project at EPFL

Language: TeX - Size: 128 MB - Last synced at: 10 months ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 1

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: 9 months ago - Pushed at: about 1 year 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: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

forestinblue/Recommendar-System-Restaurant

Collaborative , Contents Filtering Recommdar System

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

prabhj/Smm_Recommendation_System

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

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: over 1 year ago - Pushed at: about 7 years ago - Stars: 1 - 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: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

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: 10.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - 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: 8 months ago - Pushed at: 8 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: about 1 month ago - Pushed at: 11 months 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.

Language: Jupyter Notebook - Size: 9.94 MB - Last synced at: 5 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

adarsh-bhaskar/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: 5 months ago - Pushed at: over 1 year 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: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Dacker15/python-reccomendation

An overview of reccomendation systems in Python

Language: Jupyter Notebook - Size: 7.93 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tanyakuznetsova/Music_Mental_Health

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

Language: Jupyter Notebook - Size: 3.27 MB - Last synced at: 4 months ago - Pushed at: over 1 year 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: 4 months ago - Pushed at: over 1 year 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: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 2

mldk-tech/recommender-systems

MovieLens recommended system project

Language: Python - Size: 60.5 KB - Last synced at: 8 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Gruz2520/rec_system_collab_filtering

Collaborative filtering based recommender system using the surprise library

Language: Jupyter Notebook - Size: 441 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

TEAM-URS/Hybrid-Recsys

울산 맛집,카페/명소 추천 시스템

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

danielchristopher513/Hybrid_Movie_Recommendation

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

thislawyercodes/Film-Recommendation-system

A Collaborative filtering recommendation system

Language: Python - Size: 1000 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 3 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: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

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: over 2 years ago - Pushed at: about 3 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: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

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: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

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: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

edohgoka/Recommendation_Systems

Recommendation Systems

Language: Jupyter Notebook - Size: 2.87 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

fujun0406/movie_recommendation_with_surprise

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: almost 2 years ago - Pushed at: over 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: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

victormartinez/mate65

Workshop Surprise para a disciplina MATE65 (UFBA)

Language: Jupyter Notebook - Size: 41 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

virendhanwani/AnimeRecommendationSystem

Language: Jupyter Notebook - Size: 253 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

AyatKhraisat/Collaborative-Filtering-Recommender-System

Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: over 2 years ago - Pushed at: over 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: over 2 years ago - Pushed at: almost 5 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: over 2 years ago - Pushed at: about 5 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: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

romario076/Recommendation-Systems-Tutorial

Recommendation Systems tutorial

Language: Jupyter Notebook - Size: 878 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 2

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: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

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: over 2 years ago - Pushed at: almost 7 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: over 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 1

GustavoDinizMonteiro/recommendation_system

Language: Jupyter Notebook - Size: 3.23 MB - Last synced at: 5 months ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

Related Topics
python 23 recommender-system 21 collaborative-filtering 17 recommendation-system 16 machine-learning 16 python3 11 surprise 9 scikit-learn 8 pandas 8 data-science 8 movie-recommendation 6 surprise-library 6 cosine-similarity 5 jupyter-notebook 5 content-based-recommendation 5 recommender-systems 5 svd 5 numpy 4 flask 4 svd-matrix-factorisation 4 hybrid-recommender-system 3 movielens-dataset 3 matplotlib 3 nlp 2 scikit-surprise 2 recomendation-algorithm 2 sklearn 2 reccomendation-system 2 seaborn 2 countvectorizer 2 item-based-recommendation 2 user-based-recommendation 2 anaconda 2 exploratory-data-analysis 2 recommendation-engine 2 deep-learning 2 data-visualization 2 data-mining 2 machine-learning-algorithms 2 tf-idf 2 spyder 1 tutorial 1 bachelor-thesis 1 generative-ai 1 android 1 kali-linux 1 kidding 1 linux 1 mobile 1 surprise-tool 1 termux-hacking 1 termux-tool 1 x-stupidity 1 charlotte 1 reccomendersystem 1 dataset 1 artificial-intelligence 1 jupyter 1 flask-api 1 jupyter-notebooks 1 evaluation 1 pandas-dataframe 1 data-analysis 1 book-recommender 1 book-recomendation 1 book-crossing 1 svd-factorization 1 spark-ml 1 recommendation 1 tf-idf-score 1 natural-language-processing 1 html 1 django 1 ai-algorithm 1 recsys 1 persa 1 julia 1 pca-analysis 1 k-means-clustering 1 decision-tree-classifier 1 decision-tree 1 k-nn 1 f1-score 1 colaborative-filtering 1 transfer-learning 1 tensorflow 1 opencv 1 keras 1 deep 1 dataanalysis 1 data 1 colab-notebook 1 colloborative-filtering 1 yelp-dataset 1 svd-recommendation-algorithm 1 scores 1 reviews 1 restaurants 1 recommender 1 explicit 1