Research on Personalized Recommendation of E-commerce Based on Ant Colony Algorithm

How to timely discover the effective product information in the process of e-commerce transaction is the key and difficult point for the development of e-commerce. This paper analyzes the operating principle of e-commerce and explores the application of personalized recommendation in e-commerce; and ant colony algorithm is adopted as the basic algorithm for the information collection of e-commerce to conduct a comprehensive analysis of e-commerce information by simulating the foraging process of the ant colony. Combined with the browsed information and personal information, the user's personal preferences are summarized, during which the products similar to the users' preferences can be obtained. The products are sorted and presented to the users according to their importance from large to small, thus realizing the personalized recommendation of e-commerce.