A media user behavior pattern analysis model based on improved swarm intelligence

With the development of network integration, media services´ number is increasing and various forms of media service appear constantly. Users´ self-selectivity of acquiring media service is greatly enhanced. This paper proposes a media user behavior pattern analysis model based on improved swarm intelligence, aiming to solve the problem that traditional media user behavior analysis method cannot satisfy the current operation needs. This model´s effectiveness is verified by analyzing media users´ actual behaviors, and the user pattern groups´ behavior characteristics are summarized and explained to guide the actual operation.