TagrecTowards A Standardized Tag Recommender Benchmarking Framework
Stars: ✭ 113 (-45.41%)
CornacA Comparative Framework for Multimodal Recommender Systems
Stars: ✭ 308 (+48.79%)
Movie Recommender SystemBasic Movie Recommendation Web Application using user-item collaborative filtering.
Stars: ✭ 85 (-58.94%)
retailbox🛍️RetailBox - eCommerce Recommender System using Machine Learning
Stars: ✭ 32 (-84.54%)
recommenderNReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
Stars: ✭ 35 (-83.09%)
ppreca recommender engine node-js package for general use and easy to integrate.
Stars: ✭ 29 (-85.99%)
Seldon ServerMachine Learning Platform and Recommendation Engine built on Kubernetes
Stars: ✭ 1,435 (+593.24%)
CarskitJava-Based Context-aware Recommendation Library
Stars: ✭ 98 (-52.66%)
Recdb PostgresqlRecDB is a recommendation engine built entirely inside PostgreSQL
Stars: ✭ 297 (+43.48%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (-2.42%)
Sigir2020 peterrecParameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
Stars: ✭ 121 (-41.55%)
Sbr GoRecommender systems for Go
Stars: ✭ 159 (-23.19%)
MangakiSite de recommandation de mangas et d'anime
Stars: ✭ 118 (-43%)
FmgKDD17_FMG
Stars: ✭ 116 (-43.96%)
Drl4recsysCourses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
Stars: ✭ 196 (-5.31%)
Recommenderlabrecommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
Stars: ✭ 174 (-15.94%)
Ml CourseStarter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Stars: ✭ 154 (-25.6%)
TooSimple recommendation engine implementation built on top of Redis
Stars: ✭ 104 (-49.76%)
NcfA pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
Stars: ✭ 149 (-28.02%)
RecommendersBest Practices on Recommendation Systems
Stars: ✭ 11,818 (+5609.18%)
Recsys计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
Stars: ✭ 1,350 (+552.17%)
RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Stars: ✭ 145 (-29.95%)
EnmfThis is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
Stars: ✭ 96 (-53.62%)
ComirecSource code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
Stars: ✭ 123 (-40.58%)
Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Stars: ✭ 121 (-41.55%)
Recsys course at polimiThis is the official repository for the Recommender Systems course at Politecnico di Milano.
Stars: ✭ 180 (-13.04%)
Kddcup 20206th Solution for 2020-KDDCUP Debiasing Challenge
Stars: ✭ 118 (-43%)
RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
Stars: ✭ 159 (-23.19%)
Drl RecDeep reinforcement learning for recommendation system
Stars: ✭ 92 (-55.56%)
AlbedoA recommender system for discovering GitHub repos, built with Apache Spark
Stars: ✭ 149 (-28.02%)
Simple recommenderA simple recommendation engine for Rails/Postgres
Stars: ✭ 101 (-51.21%)
Cikm 2019 Analyticup1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation
Stars: ✭ 173 (-16.43%)
Kdd winniethebestKDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place
Stars: ✭ 142 (-31.4%)
RivalRiVal recommender system evaluation toolkit
Stars: ✭ 145 (-29.95%)
Flurs🌊 FluRS: A Python library for streaming recommendation algorithms
Stars: ✭ 97 (-53.14%)
ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
Stars: ✭ 2,569 (+1141.06%)
Ai Study人工智能学习资料超全整理,包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题
Stars: ✭ 93 (-55.07%)
Caiss跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。功能强大,使用方便。欢迎star & fork。Build together! Power another !
Stars: ✭ 142 (-31.4%)
Szuthesis📝 SZU Undergraduate Thesis -- Recommender System
Stars: ✭ 167 (-19.32%)
Awesome Deep Learning Papers For Search Recommendation AdvertisingAwesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
Stars: ✭ 136 (-34.3%)
KgpolicyReinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
Stars: ✭ 83 (-59.9%)
Expo MfExposure Matrix Factorization: modeling user exposure in recommendation
Stars: ✭ 81 (-60.87%)
Dreamrnn based model for recommendations
Stars: ✭ 77 (-62.8%)
Graph NetworksA list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
Stars: ✭ 192 (-7.25%)
Nlp4rec PapersPaper list of NLP for recommender systems
Stars: ✭ 162 (-21.74%)
SdmSequential deep matching model for recommender system at Alibaba
Stars: ✭ 139 (-32.85%)
RecosystemRecommender System Using Parallel Matrix Factorization
Stars: ✭ 74 (-64.25%)
Rnn recsysOur implementation of the paper "Embedding-based News Recommendation for Millions of Users"
Stars: ✭ 135 (-34.78%)
RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Stars: ✭ 71 (-65.7%)
EhcfThis is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
Stars: ✭ 70 (-66.18%)
CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
Stars: ✭ 160 (-22.71%)
Movielens RecommenderA pure Python implement of Collaborative Filtering based on MovieLens' dataset.
Stars: ✭ 131 (-36.71%)