GitHub topics: recommendation-algorithms
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

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

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

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

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

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

TolaOgunniyi/Market-Basket-Analysis
Use of Machine Learning techniques to create a recommender system
Language: Jupyter Notebook - Size: 8.41 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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

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: 23 days ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

amitkaps/recoflow
Recommender System for Humans
Language: Python - Size: 5.1 MB - Last synced at: 30 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

KrSuma/ALS-and-Bayesian-item-recommendation-system
A ML implicit item recommendation system using ALS(Alternating Least Squares) matrix factorization and Bayesian method algorithms.
Language: Jupyter Notebook - Size: 80.9 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

KrSuma/Explicit-Recommendation-Algo
some basic recommendation algorithms and looking into correlations such as Pearsons, etc.
Language: Python - Size: 49.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

LeventSoykan/Movie_Recommendation_Using_NMF
Project to recommend movies using non-negative matrix factorization
Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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

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

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

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

andre-b-fernandes/FEUP-DISS
Software library for stream-based recommender systems
Language: Python - Size: 1.4 MB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

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

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

BALaka-18/Hybrid-Recommendation-system
A hybrid movie recommendation system
Language: Jupyter Notebook - Size: 8.17 MB - Last synced at: 2 days ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

Pranavd0828/ModelBased_RecommendationSystem
Model-based recommendation systems involve building a model based on the dataset of ratings. This approach potentially offers the benefits of both speed and scalability. [Source: http://www.cs.carleton.edu/cs_comps/0607/recommend/recommender/modelbased.html]
Language: Jupyter Notebook - Size: 4.62 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

mmaguero/MovieLensRecommender
[GIW-MII-UGR-2016-2017] Desarrollo de un Sistema de Recomendación basado en Filtrado Colaborativo "User Based" desde cero y con Mahout Taste
Language: Java - Size: 46.8 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

icodeitnl/Recommender
Recomendation Systems. Content, Keywords, Popularity, Collaborative Filtering
Language: Python - Size: 361 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - 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

yash17525/movies-recommender
This repository contains Python code for Collaborative based Recommendation System
Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

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

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

alexander-m-py/recommendation_engine
Recommendation engine wrapped in Flask (based on 27,225,144 ratings and MovieLens dataset)
Language: Python - Size: 57.9 MB - Last synced at: about 2 years ago - Pushed at: about 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: over 6 years ago - Stars: 0 - Forks: 0

stevenobadja/recommendation_engine
A collaborative filtering model that recommends users which movies they should watch.
Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: 4 days ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

ihongChen/PlayRecommendSystem
This is the play-ground of recommended system
Language: Jupyter Notebook - Size: 28.8 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 2

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

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

zjzsliyang/Jarvis
Shopping Recommendation System Algorithm for RAO's Lab
Language: Python - Size: 11.8 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

lalanne/pyreclab Fork of gasevi/pyreclab
Pyreclab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, GRIMA Lab and SocVis Lab.
Language: C++ - Size: 1.49 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
