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zou8514 / system_architect
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This is a repository of public data sources for Recommender Systems (RS).
A framework for large scale recommendation algorithms.
计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)
This repository includes some papers that I have read or which I think may be very interesting.
[SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"
😎 Awesome lists about all kinds of interesting topics
An implementation trying to reproduce "Graph contextualized self-attention network for session-based recommendation" based on SR-GNN code.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
CAT 作为服务端项目基础组件，提供了 Java, C/C++, Node.js, Python, Go 等多语言客户端，已经在美团点评的基础架构中间件框架（MVC框架，RPC框架，数据库框架，缓存框架等，消息队列，配置系统等）深度集成，为美团点评各业务线提供系统丰富的性能指标、健康状况、实时告警等。
A curated list of awesome self-supervised methods
SR-GNN增加中文注释（学习版本）
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
Recommender Systems Paperlist that I am interested in
A reimplementation of SRGNN.