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Name: Mr.Jason
Type: User
Company: RMIT
Bio: I'm Jason, currently a PhD Candidate in Computer Science at RMIT University. I'm committed to the research of Recommender System algorithms.
Location: RMIT
Name: Mr.Jason
Type: User
Company: RMIT
Bio: I'm Jason, currently a PhD Candidate in Computer Science at RMIT University. I'm committed to the research of Recommender System algorithms.
Location: RMIT
Redis数据库实现高性能搜索提示功能
QQ登录实例
use PHP & Ajax devolop shop's cart
Collect some papers and dataset related to fairness research in recommendation systems.
Yii2 干货集
beego is an open-source, high-performance web framework for the Go programming language.
Jason's blog for studying vue.js and any other frontend stuff
My Book
The Assignment1 for Cloud Computing
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
Improved-BT
The system statistics collection daemon. Please send Pull Requests here!
A Comparative Framework for Multimodal Recommender Systems
Differentiable convex optimization layers
A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
An implementation of a deep learning recommendation model (DLRM)
Dynamic Fair Rankings
Pytorch implementation of the paper "Debiased Explainable Pairwise Ranking from Implicit Feedback".
The IK Analysis plugin integrates Lucene IK analyzer into elasticsearch, support customized dictionary.
JDBC importer for Elasticsearch
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
This 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.
This is a collection of papers and other resources related to fairness.
FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback
A Python package to assess and improve fairness of machine learning models.
This repo will update the state-of-the-art fairness-aware recommendation algorithms
Implementation of the paper "Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.