Appreciation and Recommendation Platform of Contemporary British and American Literature Based on Big Data

This paper starts with the development status of offline literary works under the background of big data, and focuses on the online display and recommendation technology of contemporary British and American literary works, and designs and develops the design and application of its online display system. After acquiring the detailed requirement analysis, the software system is designed in detail. It adopts MVC framework and it is developed based on Java language and MYSQL. The system can provide work display, author management, work management, data management and other functional modules. It is transformed into the design and analysis of system operation process design, search engine design and data structure detailed design. Finally, according to the detailed design and implementation of the system business function verification and stress test, the effectiveness of the platform functions is proved.