RETRACTED ARTICLE: User preference intelligent information recommendation system based on chaos genetic algorithm

Abstract

There is a problem that the recommendation effect of user preference intelligent information recommendation is poor under the interference of strong noise. This paper presents a study on the user preference intelligent information recommendation system based on chaos genetic algorithm. Design of intelligent information recommendation system hardware architecture, the use of hypertext server will different space of text in the text of the information organization in the same network, according to the user submits the keyword search relevant information from the database, design preference recommendation subsystem, and through the client information query interface circuit, the query client information; According to the application principle of chaos sequence, the software introduces the perturbation chaos genetic mapping algorithm, and sets the intelligent information recommendation mechanism of users’ preference based on chaos genetic algorithm, and introduces the median filtering method to remove the strong noise in the recommendation system to ensure the integrity of the recommendation data. Through hardware and software cooperation to complete the user preference intelligent information recommendation system design. The experimental results show that the system has good throughput and high recommendation accuracy under the strong noise interference, which can meet the user's requirement of obtaining information efficiently.