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专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
此仓库将包含各大银行的基本介绍，笔试面试特点，发现这个宝库就离上岸不远了，哼
基于 Springboot + Redis + Kafka 的秒杀系统，乐观锁 + 缓存 + 限流 + 异步，TPS 从 500 优化到 3000
大数据知识仓库涉及到数据仓库建模、实时计算、大数据、数据中台、系统设计、Java、算法等。
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Evaluation of complexity about PyTorch models
使用Spring+SpringMVC+Hibernate开发一个论坛/社区
更实用的Java开发的社区(论坛)，Better use of Java development community (forum)
Jobs-Recommendation-System使用Scrapy爬虫框架对招聘网站进行爬取，并使用ETL工具将数据存储到分布式文件系统；利用大数据，机器学习等技术对求职者和职位信息进行画像建模，并通过推荐算法对求职者做出职位的智能推荐。
Code for paper "GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation"
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
Enhance Your English Writing for Science Research 写论文英语素材
Code for KDD '20 paper "Geography-Aware Sequential Location Recommendation"
Implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020) in PyTorch
paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>
Personalized spatio-temporal graph network for the next POI recommendation
Out-of-Town Recommendation with Travel Intention Modeling (AAAI2021)
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Based on https://github.com/JiachengLi1995/TiSASRec, replace negative sampling based evaluation with all-item based evaluation and try to make it better for ranking all items.