Recsys core[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集,构建以FM和LR为核心的电影推荐系统).
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Graph NetworksA list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
RivalRiVal recommender system evaluation toolkit
Graphembeddingrecommendationsystem Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
DeepconnThis is our implementation of DeepCoNN
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
Neu Review RecA Toolkit for Neural Review-based Recommendation models with Pytorch.
Toptal RecommenginePrototype recommendation engine built to accompany an article on Toptal Blog
TensorrecA TensorFlow recommendation algorithm and framework in Python.
Kdd Multimodalities RecallThis is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.
MoviePersonalized real-time movie recommendation system
Drugs Recommendation Using ReviewsAnalyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
DeeprecAn Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Deeprec推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Recsys2019 deeplearning evaluationThis 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.
RecboleA unified, comprehensive and efficient recommendation library
OpenrecOpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
RecnnReinforced Recommendation toolkit built around pytorch 1.7
AtrankAn Attention-Based User Behavior Modeling Framework for Recommendation
CaserecommenderCase Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Reco GymCode for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
CornacA Comparative Framework for Multimodal Recommender Systems
Recdb PostgresqlRecDB is a recommendation engine built entirely inside PostgreSQL
SLIM-recommendationA simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF
recommenderNReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
toptal-recommenginePrototype recommendation engine built to accompany an article on Toptal Blog
TIFUKNNkNN-based next-basket recommendation
intergoA package for interleaving / multileaving ranking generation in go
JD2Skills-BERT-XMLCCode and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework
listenbrainz-labsA collection tools/scripts to explore the ListenBrainz data using Apache Spark.
Long-Tail-GANAdversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering