Research And Implementation Of Book-sharing Platform System

With the development of Supply-side reform and the “Internet plus” initiative,the sharing economy has been developing rapidly in China.Sharing platform applications have covered every aspects of people's lives.Reading is one of the indispensable activities in people's lives.As the medium of reading,books have objective conditions and subjective needs to be shared.However,the existing book-sharing platform on the market cannot satisfy the user's demand for digital reading while providing the user with a physical book reading method.Therefore,this thesis provides a book-sharing platform system.The system aims to provide book owners with the idle books reuse channels while meeting the needs of book readers for reading paper and e-books.The main contents and innovative points of this thesis are as follows:Firstly,investigates the existing shared book platform system on the market.Based on the analysis and summary of the shortcomings,the thesis designs the book-sharing platform system in combination with the current reading habits of readers our country.Secondly,combining the characteristics of e-book text content in book-sharing platform,proposes and implements a detection model to deal with low-quality text with high-dimensional and low-density text based on Naive Bayes Log-count Ratio.Experiments show that the model has advantages in the precision classification,recall and F1 compared to the traditional text-based classification model based on TF-IDF.This model optimizes the reading atmosphere of the book-sharing platform.Proposes a method of extracting cataloguing data of books in edition from title page image based on the research of image processing technology and Tesseract-OCR.Thirdly,summarizes the problems and shortcomings of the existing book-sharing platform through practical research.Develops the mobile sharing end and background management end of the book-sharing platform based on Spring Boot and SSM(Spring + Spring MVC + MyBatis)framework.Researches the architecture optimization from the caching point of view based on the Redis memory database.Implements the book information crawler program based on the Scrapy framework.Through the investigation of anti-crawler mechanism in major websites,the thesis adopts coping strategies to improve the stability of crawler programs.