Research of the user search behavior on multiple agent intelligent agent technology

Traditional search behavior analysis was too single to meet the individual needs of the user information search. This paper introduces the artificial intelligence agent technology analysis of user search behavior, analyzes 5 kinds of user search behavior by the use of multiple agent Intelligent agent technology advantage, and gather five kinds of user search behavior analysis results, output user information satisfaction, personalized service to meet user. To improve the efficiency of the search engines to provide a new method.