"基于Python漫画平台推荐系统设计与实现"

This paper titled "Design and Implementation of a Comic Platform Recommendation System Based on Python" explores the development of a recommendation system for comic platforms. The paper begins by outlining the research content of the system, followed by an analysis of system requirements to understand the objectives of the project. This includes business analysis, business process analysis, and use case analysis to further clarify the requirements of the system. Based on the understanding of the system requirements, the paper delves into the design of the system, covering software architecture patterns, overall functional modules, and database design. The project adopts a B/S architecture model and utilizes Python technology, with functional modules structured using a top-down layered approach. The paper then discusses the implementation of the system and the coding process to achieve the desired functionalities. In conclusion, the paper reflects on the author's experience in completing the research and development of the project. The Comic Platform Recommendation System is expected to significantly improve efficiency in comic information management across various aspects. Keywords: Python, Comic, Software Architecture. Overall, this paper provides a comprehensive overview of the design and implementation process of a Comic Platform Recommendation System using Python. The thorough analysis of system requirements, design considerations, and implementation details demonstrates a systematic approach to developing a functional and efficient recommendation system for comic platforms. Through this project, the potential benefits of leveraging technology to enhance comic information management are highlighted, paving the way for improved user experience and operational effectiveness in the comic industry.