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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

Related Keywords
recommendation-algorithms 136 recommender-system 58 recommendation-system 45 recommendation-engine 34 collaborative-filtering 28 machine-learning 26 deep-learning 24 python 17 recommender-systems 15 recommendation 14 matrix-factorization 10 tensorflow 9 recommender 8 recommendations 7 recommendation-algorithm 7 movie-recommendation 6 data-science 6 pandas 6 pytorch 5 python3 5 ctr-prediction 5 cosine-similarity 5 deepfm 4 content-based-recommendation 4 clustering 4 neural-networks 4 keras 3 java 3 natural-language-processing 3 recommendationengines 3 flask 3 user-based-recommendation 3 deep-neural-networks 3 machine-learning-algorithms 3 music 3 spotify 3 neural-network 3 knn 3 numpy 3 recsys 3 esmm 3 hybrid-recommender-system 2 sklearn 2 fastapi 2 clustering-algorithm 2 big-data 2 rnn 2 anime 2 docker 2 geolocation 2 data-visualization 2 ai 2 spring-boot 2 movie 2 wide-and-deep 2 movies 2 graph-neural-networks 2 r 2 matplotlib 2 din 2 logistic-regression 2 dlrm 2 object-detection 2 spark 2 dssm 2 apache 2 als 2 tensorflow2 2 neural-collaborative-filtering 2 mind 2 multi-task-learning 2 social-network-analysis 2 computer-vision 2 mahout-cf-engine 2 k-means-clustering 2 nlp 2 ecommerce 2 social-network 2 fibinet 2 movie-recommender 2 movie-recommendation-system 2 learning-to-rank 2 recommendation-filtering 2 deep-cross 2 pyspark 2 suggestion-bot 2 afm 2 xdeepfm 2 awesome 2 awesome-list 2 lightgbm 2 spotify-api 2 audio-analysis 2 artificial-intelligence 2 web3 1 ner 1 food-shop 1 seaborn 1 content-collaborative-filtering 1 nlp-machine-learning 1