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real-time-news-fetcher-and-recommendation-system's Introduction

Real-Time-News-Fetcher-and-Recommendation-System

  1. Built news monitor and scrapper to craw the online news and pumped into RabbitMQ using News API and python
  2. Constructed the news pipeline by connecting RabbitMQ channels with Redis and MongoDB
  3. Developed a React JS web app to render News and built SOA architecture by applying RPC to call news pipeline service
  4. Implemented a click event log processor to collect user’s click logs and update a news preference model
  5. Built an offline training model for news topic modeling by using DNN algorithms in TensorFlow and deploy the model online

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