WWW2020-grecFuture Data Helps Training: Modeling Future Contexts for Session-based Recommendation
Stars: ✭ 17 (-83.81%)
Product NetsTensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
Stars: ✭ 355 (+238.1%)
Drugs Recommendation Using ReviewsAnalyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Stars: ✭ 35 (-66.67%)
RspapersA Curated List of Must-read Papers on Recommender System.
Stars: ✭ 4,140 (+3842.86%)
Drl RecDeep reinforcement learning for recommendation system
Stars: ✭ 92 (-12.38%)
Winerama Recommender TutorialA wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
Stars: ✭ 324 (+208.57%)
DeeprecAn Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Stars: ✭ 954 (+808.57%)
Reco GymCode for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Stars: ✭ 314 (+199.05%)
RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Stars: ✭ 71 (-32.38%)
Flurs🌊 FluRS: A Python library for streaming recommendation algorithms
Stars: ✭ 97 (-7.62%)
HybridBackendEfficient training of deep recommenders on cloud.
Stars: ✭ 30 (-71.43%)
DsinCode for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Stars: ✭ 289 (+175.24%)
Recommendrecommendation system with python
Stars: ✭ 284 (+170.48%)
ds3-spring-2018Материалы третьего набора офлайн-программы Data Scientist.
Stars: ✭ 22 (-79.05%)
Rfdmovies Client🎬instant recommending or finding or downloading movies via the command line
Stars: ✭ 18 (-82.86%)
Toptal RecommenginePrototype recommendation engine built to accompany an article on Toptal Blog
Stars: ✭ 90 (-14.29%)
SparrowrecsysA Deep Learning Recommender System
Stars: ✭ 796 (+658.1%)
MoviegeekA django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
Stars: ✭ 608 (+479.05%)
RecboleA unified, comprehensive and efficient recommendation library
Stars: ✭ 780 (+642.86%)
fun-rec推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
Stars: ✭ 1,367 (+1201.9%)
CarskitJava-Based Context-aware Recommendation Library
Stars: ✭ 98 (-6.67%)
KgpolicyReinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
Stars: ✭ 83 (-20.95%)
RexyFlexible and extendable recommender system based on an abstract User-Product-Tag schema
Stars: ✭ 57 (-45.71%)
Auto-SurpriseAn AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
Stars: ✭ 19 (-81.9%)
AMRThis is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.
Stars: ✭ 30 (-71.43%)
YeddaYEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.
Stars: ✭ 704 (+570.48%)
JassSoulSeek client with web interface and recommender system
Stars: ✭ 23 (-78.1%)
Collaborative RnnA TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
Stars: ✭ 60 (-42.86%)
recsys sparkSpark SQL 实现 ItemCF,UserCF,Swing,推荐系统,推荐算法,协同过滤
Stars: ✭ 76 (-27.62%)
LikelikeAn implementation of locality sensitive hashing with Hadoop
Stars: ✭ 58 (-44.76%)
RecSysDatasetsThis is a repository of public data sources for Recommender Systems (RS).
Stars: ✭ 272 (+159.05%)
Newsrecommendsystem个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
Stars: ✭ 557 (+430.48%)
MARankMulti-order Attentive Ranking Model for Sequential Recommendation
Stars: ✭ 25 (-76.19%)
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 (-8.57%)
Music recommenderMusic recommender using deep learning with Keras and TensorFlow
Stars: ✭ 528 (+402.86%)
skywalkRcode for Gogleva et al manuscript
Stars: ✭ 28 (-73.33%)
Ml Surveys📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Stars: ✭ 1,063 (+912.38%)
WhySoMuchknowledge graph recommendation
Stars: ✭ 67 (-36.19%)
RsalgorithmsSome algorithms about traditional and social recommendation.
Stars: ✭ 500 (+376.19%)
BARSTowards open benchmarking for recommender systems https://openbenchmark.github.io/BARS
Stars: ✭ 157 (+49.52%)
rec-a-sketchcontent discovery... IN 3D
Stars: ✭ 45 (-57.14%)
Expo MfExposure Matrix Factorization: modeling user exposure in recommendation
Stars: ✭ 81 (-22.86%)
ConsimiloA Clojure library for querying large data-sets on similarity
Stars: ✭ 54 (-48.57%)