Research on E-Commerce Digital Information System Based on Computer Internet Technology

This paper adopts the method of combining JSP and JavaBean to realize the script of the system. A user terminal was developed by using the Android software development platform, and the online purchase function of the mobile phone user terminal was completed by matching with the database of the user terminal. Combining semantic similarity with commodity classification theory, a commodity semantic association model based on commodity classification is constructed. Combining it with existing item-based collaborative filtering algorithms. According to the records of items purchased by users and the sequence of items, dynamic user preferences can be obtained. Items are then mapped to the same low-dimensional vector space. Experimental results show that compared with the best standard model, the algorithm proposed in this paper can improve the effect by 95.66 times. The results show that compared with the common online trading system, this system has stronger mobility and stronger cross-platform.