recommendation-algorithms | Topic

Topic: "recommendation-algorithms"

datawhalechina/fun-rec

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

Language: Jupyter Notebook - Size: 133 MB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 5,731 - Forks: 919

guoguibing/librec

LibRec: A Leading Java Library for Recommender Systems, see

Language: Java - Size: 83.6 MB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 3,251 - Forks: 1,030

alibaba/EasyRec

A framework for large scale recommendation algorithms.

Language: Python - Size: 114 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 2,020 - Forks: 358

tsinghua-fib-lab/GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

Size: 186 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1,030 - Forks: 140

MaurizioFD/RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Language: Python - Size: 216 MB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 987 - Forks: 249

PreferredAI/cornac

A Comparative Framework for Multimodal Recommender Systems

Language: Python - Size: 24.3 MB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 960 - Forks: 153

qiaoguan/deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Language: Python - Size: 495 KB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 920 - Forks: 278

HKUDS/SSLRec

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Language: Python - Size: 103 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 503 - Forks: 72

DSXiangLi/CTR

CTR模型代码和学习笔记总结

Language: Python - Size: 29.9 MB - Last synced at: 13 days ago - Pushed at: almost 4 years ago - Stars: 388 - Forks: 97

DataSystemsLab/recdb-postgresql

RecDB is a recommendation engine built entirely inside PostgreSQL

Language: C - Size: 106 MB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 364 - Forks: 43

MobileTeleSystems/RecTools

RecTools - library to build Recommendation Systems easier and faster than ever before

Language: Python - Size: 7.09 MB - Last synced at: 17 days ago - Pushed at: 19 days ago - Stars: 357 - Forks: 47

sb-ai-lab/RePlay

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

Language: Python - Size: 36.1 MB - Last synced at: 10 days ago - Pushed at: 12 days ago - Stars: 337 - Forks: 34

gaolinjie/awesome-recommender-systems

A curated list of awesome resources about Recommender Systems.

Size: 86.9 KB - Last synced at: 23 days ago - Pushed at: over 5 years ago - Stars: 323 - Forks: 66

gabrielspmoreira/chameleon_recsys

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Language: Python - Size: 715 KB - Last synced at: 19 days ago - Pushed at: about 2 years ago - Stars: 276 - Forks: 81

jrzaurin/RecoTour

A tour through recommendation algorithms in python [IN PROGRESS]

Language: Jupyter Notebook - Size: 6.56 MB - Last synced at: 15 days ago - Pushed at: 5 months ago - Stars: 177 - Forks: 38

CORE-Labet/CORE

CORE is a plug-and-play conversational agent for any recommender system.

Language: Python - Size: 6.63 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 166 - Forks: 31

asif536/Movie-Recommender-System

Basic Movie Recommendation Web Application using user-item collaborative filtering.

Language: HTML - Size: 2.28 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 164 - Forks: 76

alibaba/TorchEasyRec

An easy-to-use framework for large scale recommendation algorithms.

Language: Python - Size: 5.76 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 161 - Forks: 23

busesese/MultiTaskModel

multi task mode for esmm and mmoe

Language: Python - Size: 2.23 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 72 - Forks: 15

Fisher87/ai_explore

机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现

Language: Python - Size: 103 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 56 - Forks: 13

wolf-bailang/AI-Projects

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Language: Jupyter Notebook - Size: 722 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 45 - Forks: 18

SSSxCCC/SLIM-recommendation

A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF

Language: Python - Size: 9.62 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 40 - Forks: 22

nreco/recommender

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

Language: C# - Size: 348 KB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 38 - Forks: 8

AmanPriyanshu/Federated-Recommendation-Neural-Collaborative-Filtering

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.

Language: Python - Size: 135 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 36 - Forks: 5

federicoparroni/recsys2019

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 30 - Forks: 17

shrebox/Course-Recommendation-System

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 27 - Forks: 2

zhengjingwei/recommender-system

推荐算法python实现

Language: Jupyter Notebook - Size: 31 MB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 26 - Forks: 15

voladorlu/MARank

Multi-order Attentive Ranking Model for Sequential Recommendation

Language: Python - Size: 20.6 MB - Last synced at: 4 days ago - Pushed at: about 6 years ago - Stars: 26 - Forks: 5

hillup/recommend

practice on movielens using pytorch

Language: Python - Size: 66.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 25 - Forks: 3

Kyung-Min/triplet_recommendations_keras Fork of maciejkula/triplet_recommendations_keras

An example of doing MovieLens recommendations using triplet loss in Keras

Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: almost 9 years ago - Stars: 21 - Forks: 7

AmazingDD/MF-pytorch

Matrix Factorization reimplementation with pytorch

Language: Python - Size: 13.7 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 6

mdh266/RecommenderSystems

Recommender Systems and Collaborative Filtering

Language: Jupyter Notebook - Size: 112 KB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 18 - Forks: 5

sumitsidana/recsys_challenge_2020

This repository contains the code for 4th place solution for approach to RecSys Challenge 2020.

Language: Jupyter Notebook - Size: 3.54 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 5

tlatkowski/neural-recommender

Neural recommender system implementation in TensorFlow.

Language: Python - Size: 26.4 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 8

SebastianMue/JavaRank

Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.

Language: Java - Size: 34.2 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 5

AlisaBen/marvel

Bytedance ICME2019

Language: Python - Size: 443 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 13 - Forks: 1

thegenuinegourav/Movies-Recommender

A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.

Language: Matlab - Size: 672 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 4

chen0040/js-recommender

Package provides java implementation of content collaborative filtering for recommend-er system

Language: JavaScript - Size: 56.6 KB - Last synced at: 2 months ago - Pushed at: about 8 years ago - Stars: 13 - Forks: 3

shsarv/Restaurant-Recommendation-System

This repository contains code for the Recommendation system to find restaurants. An End to End Project developed using Flask and python. The website is hosted on Heroku.

Language: HTML - Size: 2.89 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 3

AutuanLiu/torchctr

Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP

Language: Jupyter Notebook - Size: 4.66 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 4

amitkaps/recoflow

Recommender System for Humans

Language: Python - Size: 5.1 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

divyansha1115/Movie-recommendation

Movie Recommendation using Matrix Factorisation, User based collaborative and Item based collaborative filtering

Language: JavaScript - Size: 4.33 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 2

CogitoNTNU/CogitoXInfor

The project of Cogito with Infor

Language: Python - Size: 9.15 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 6 - Forks: 0

yinpu/FedLab-Rec

The FedLab-Rec repository is a framework for combining federated learning and recommendation algorithms based on FedLab.

Language: Python - Size: 51.8 KB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

archana1998/Gradient-Ascent_FK-GRiD

Submission for the Flipkart GRiD 2.0 hackathon under the track "Fashion Intelligence Systems"

Size: 158 KB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 3

chenyz0601/mmd-project

Mining Million Song Dataset

Language: Jupyter Notebook - Size: 213 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 1

Galaktikkon/FAI Fork of apohllo/sztuczna-inteligencja

Fundamentals of Artificial Intelligence course exercises @ AGH University of Krakow

Language: Jupyter Notebook - Size: 117 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0

andre-b-fernandes/FEUP-DISS

Software library for stream-based recommender systems

Language: Python - Size: 1.4 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

JyotinderSingh/JavaFlix---Movie-Recommendation-System

A recommendation system, complete with UI built using Java in IntelliJ IDEA

Language: Java - Size: 332 KB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 0

Shubham-vish/Recommendation-Engines

# This Repository contains implementation of different Recommendation Engine Algorithms

Language: Jupyter Notebook - Size: 30.8 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 3

cbangyu-zju/machine-learning-documents

Size: 38.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 2

ieeecs-ut/spotify-deep-learning Fork of anuvgupta/audiu

Neural-net music suggestions — Keras deep learning, SciKit ensemble techniques, & Spotify feature API

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

ElizaLo/Recommender-System

Recommender System awesome list of theories and projects

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: 26 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

r2rahul/fastSVDrevisions

R implementation of M Brand, Fast Online SVD Revisions for Lightweight Recommender Systems.

Language: R - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: almost 9 years ago - Stars: 4 - Forks: 0

letdtcode/oyo_backend

OYO Booking Project (Java Spring Boot + React JS) idea based on Airbnb

Language: CSS - Size: 58.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 2

jiwidi/Netflix-RNN-Recommender

Implicit recommender for Netflix data

Language: Python - Size: 14.6 KB - Last synced at: 20 minutes ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 2

AnanyaBal/Collaborative_Filtering_Recommendation_Systems

Recommendation System algorithmic implementations of User-based and Item-based collaborative filtering on MovieLens 100k Data

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

berkerol/tum-social-gaming-projects

Projects for Social Gaming course in Technical University of Munich

Language: Jupyter Notebook - Size: 60.2 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

Arjun-Regmi-Chhetri/SneakFit-AI-Based-Sneaker-Recommendation-System

SneakFit is an AI-powered platform that helps users find their perfect sneakers using content-based recommendation algorithms. It features personalized recommendations, dynamic product listings, secure user authentication, advanced search with filtering, and a responsive design.

Language: JavaScript - Size: 18.1 MB - Last synced at: 21 days ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

anuvgupta/audiu

Neural-Net Music Recommendations – AI-generated music suggestions using Keras deep learning & ensemble techniques with Spotify's API.

Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 3

saheedniyi02/krecommend

A python package for creating content-based text recommender systems on pandas dataframes and SQLAlchemy tables

Language: Python - Size: 826 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

Wp-Zhang/HandyRec

A package for classic deep learning recommending algorithms implemented with TF2.6. Currently a personal project for learning purposes.

Language: Python - Size: 23.8 MB - Last synced at: 5 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

BALaka-18/Hybrid-Recommendation-system

A hybrid movie recommendation system

Language: Jupyter Notebook - Size: 8.17 MB - Last synced at: 1 day ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

stxupengyu/Matrix-Factorization-Implicit-Feedback

使用矩阵分解算法处理隐式反馈数据，并进行Top-N推荐。The matrix factorization algorithm is used to process the implicit feedback data and make top-N recommendation.

Size: 206 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

SoamyaAgrawal17/Recommender_System

Implementation and comparison (time, space) of SVD and CUR matrix decomposition algorithms

Language: Java - Size: 1.83 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

arsh1207/BigDataProject

Towards the completion for the course Big Data

Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

smfai200/ContextAware-VenueRecommendation-Using-Machine-Learning-

This is a ContextAware Venue Recommendation System Based on Machine Learning. This System is well aware of Different Context's that may alter a Users Selection of Venue!

Language: Jupyter Notebook - Size: 6.47 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

yash17525/movies-recommender

This repository contains Python code for Collaborative based Recommendation System

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

Xernnn/Anime-Recommendation Fork of anminhtri/Anime-Recommendation

Introduction to Artificial Intelligent Midterm Project

Language: Jupyter Notebook - Size: 2.05 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

tohid-yousefi/Item_Based_Recommender_Collaborative_Filtering

in this section will be item based recommender on movies and ratings dataset

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mehdimo/collaborative-filtering-recommender-system

simple recommender system using collaborative filter for movie data

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

scopalaffairs/near_recommender

Recommender system for on-chain social network, near.org

Language: Jupyter Notebook - Size: 53.9 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

whale-ynu/CRML

【NeuNet 2020】Effective metric learning with co-occurrence embedding for collaborative recommendations

Language: Python - Size: 6.28 MB - Last synced at: 10 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

HuGanghui/Web_RecSys_project

This is a Recommend System Project

Language: Python - Size: 961 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

inboxpraveen/FIFA-Player-Recomendation

In this repository, I am to create a Github Data Analysis Phase as well as a working demo of a AI Tool recommending similar players, heighest potential players by position and club player details.

Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Luizfelz/Projeto_Final_Mod.06_PoloTech

📑 Projeto de conclusão do sexto módulo do programa PoloTech

Language: Jupyter Notebook - Size: 113 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

bitasha/GRank

Language: R - Size: 827 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

koalalovepabro/aistock-data-backend-api Fork of AI-stock-team-project/aistock-data-backend-api

종목 데이터 처리, 주가 데이터 처리, 포트폴리오 api

Language: Python - Size: 112 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

PriontoAbdullah/Beer-API-App

An open-source REST API of different kinds of beer to read the API and display it in an organized way with add in some sort of sorting, searching mechanic & recommendation algorithm to the front-end.

Language: JavaScript - Size: 364 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Andy1314Chen/DLRM-Paddle

基于 PaddlePaddle 框架复现 DLRM CTR 预估算法

Language: Python - Size: 116 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

PetropoulakisPanagiotis/cryptocurrencyRecommendation

Cryptocurrency Recommendation based on Tweets

Language: C++ - Size: 15.1 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

sumitsidana/NERvE

This repository contains the code for "Representation Learning and Pairwise Ranking for Implicit Feedback in Recommendation Systems". Read the paper here: https://arxiv.org/abs/1705.00105

Language: Python - Size: 7.48 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

TolaOgunniyi/User-based-collaborative-filtering

Building and testing of a recommender system using a user based collaborative filtering technique.

Language: Jupyter Notebook - Size: 216 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

fpaupier/movie_recommender 📦

A simple movie recommendation system using collaborative filtering.

Language: MATLAB - Size: 433 KB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 3

visibilia/SIION

This is the repo containing code and other resources for the paper entitled "Exploiting Geographical Data to improve Recommender Systems for Business Opportunities in Urban Areas" and published at BRACIS 2019.

Language: Python - Size: 10.1 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

nkacoroski/pitchfork_review_analysis Fork of tsgreenwood-flatiron-data-science/mod2_final_project

Recommendations for musicians to achieve higher ratings based on analysis of Pitchfork music reviews.

Language: Jupyter Notebook - Size: 38.7 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

nkrth/rxys

The future of technology implemented today. Various implementations of multi-context, context-aware system of recommendation optimized using particle swarm and enhanced by ensemble of deep learning techniques.

Language: Jupyter Notebook - Size: 433 KB - Last synced at: 22 days ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

GRpro/recommender_lab

Recommender as a service.

Language: Scala - Size: 381 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

surumen/music-networks

Language: Jupyter Notebook - Size: 67.8 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

cwuu/DataMining-LearningFromLargeDataSet-Task4

ETH Zurich Fall 2017

Language: Python - Size: 1.78 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

huge-stone/DeepRecSys

DeepLearning For Recsys

Size: 1000 Bytes - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

windson/Recommender-Systems

Recommender Systems with Collaborative Filtering

Language: Jupyter Notebook - Size: 712 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

cmirallesp/music_recommender

Repository to implement a music recommender based on lastfm data

Language: Jupyter Notebook - Size: 127 MB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 2

RedOrchestra137/spotifyrecs-angular

Frontend acting as a GUI to interact with some logic based on Spotify's Discover Weekly algorithm. Except, you can discover any time you want, and set stricter criteria for recommendations, instead of waiting for arbitrary lengths of time based on corporate interests and earning goals. Mainly developed with Desktop browser environment in mind

Language: CSS - Size: 13.6 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0