Fecha de publicación: 07/04/2023 Fuente: Wipo "BigData" THE IMPACT OF BIG DATA ON THE STRUCTURE OF THE “INTERNET PLUS” CONSUMER-TO-CONSUMER ONLINE MARKETPLACEAbstract: In the big data environment, we develop personalized information of college libraries based on big data from three aspects: the overall architecture of the system model, the functional model of the system, and the design of system interface modules according to the design principles and requirements of the personalized information service system of the university library Service system design. In terms of the functional design of the platform, the service platform is divided into four levels: accurate identification of user needs based on big data, personalized customized services based on artificial intelligence, academic research and discussion space based on integrated media, and fine-grained subject resource aggregation based on knowledge. On this basis, a centralized model of individualized services of university libraries including internal and external personnel, information resources, technology, services, processes, platforms, and environment has been constructedArti?cial intelligence (AI) is one of the emerging trends and applications of computing in libraries. It involves programming computers to do things, which if done by humans, would be said to require intelligence. The ultimate promise of arti?cial intelligence in libraries is to develop computer systems or machines that think, behave, and in fact rival human intelligence, and this clearly has major implications on librarianship. The application of arti?cial intelligence in the library has become pervasive. They include expert systems for reference services, book reading and shelf-reading robots, virtual reality for immersive learning among others. Although the incorporation of arti?cial intelligence in libraries can be perceived to alienate librarians from their users, it will probably help libraries do more rather than taking over the jobs of librarians. It will enhance their services delivery. Arti?cial intelligence will greatly improve library operations and services and will upgrade and heighten the relevance of libraries in an ever-changing digital societyEvery week, regardless of whether we keep track of them or not, we all conduct a few online commercial transactions. Have you recently acquired any digital products (games, films, ebooks, etc.)? Do you purchase event or concert tickets online? Have you ever used a credit card and the Internet to buy clothing or other physical items? Have you ever bought a book online, had it mailed to you, and then paid cash for it when it arrived? E-commerce is the umbrella term for all of these distinct online business transactions. By 2021, over one-quarter of the world's population, or 2.14 billion people, will have made online purchases. The goal of this paper is to determine whether big data technologies can aid in addressing some of the most important concerns in the e-commerce industry. Massive data sets are one of the most important components of modern IT for online retailers and their clients, as we have mentioned. These are some suggestions for using big data to improve the e-commerce infrastructure, from administration and marketing to payments and the supply chain. This article discusses a revolutionary strategy for automating crucial e-commerce business processes utilising cutting-edge technologies. Putting the model to the test in actual e-commerce scenarios proves that it is effective. Modernizing e-commerce requires the installation of new infrastructure, the implementation of new procedures, and the use of cutting-edge software. This will facilitate data organisation, customisation of the client experience, and decision-making.