Design and Implementation of Book Lending System based on Web and Data Mining Middleware

Design and implementation of the book lending system based on Web and data mining middleware is studied in the manuscript. For the designed book pushing and borrowing system, the user-based collaborative filtering algorithm often uses a user-item rating matrix. The row vector in the matrix represents the distribution of interests of the same user in different items or content. With the calculation of similarity between. The system event hook structure is defined in the event module to record the processing function of the system event and the statistics of the number of the events, and an array composed of the event hook structure is maintained in the event module. Hence, for the better understanding of the data collected, the middleware is integrated. In the network, the middlebox is dynamically placed in the appropriate position, and then the traffic is distributed to the middlebox instance that can reduce the delay of network packets. Furthermore, the system is implemented, and the robustness is tested.