The research of architecture and key technologies of the internet personalized radio

The popularity of the Internet has changed everything about the radio industry. With the deep integration between the radio and the Internet, the radio industry has faced great challenges to organize the large-scale audio dataset, build an flexile architecture, and recommend highly personalized content to users. To address these problems, we realize a lightweight web application of the Internet personalized radio, which based on the Django framework. Our web application is able to simulate the live radio stream, as well as providing the correspond content according to the demand for each user. On the other hand, this research discusses the four-tier system architecture of the internet personalized radio: Service Layer, Data Layer, Interface Layer, and Business Layer. According to the web interface, this system puts forward a data acquisition scheme to collect users' explicit and implicit behaviors and proposes a data transmission scheme between the web and the big data service.