Research On The Agent-Based Personalized Information Retrieval Technology

In recent years, as a branch of artificial intelligent (AI) the intelligent information retrieval has been developed rapidly. With the development and the spread of Internet, more and more users search for information online using search engines. Although the development of the search engine has become mature, yet when using it, the people find it more and more difficult to look for the information needed for their own. Faced on the current situation of network information service, people are searching for a kind of service model that the required information for users is recommended to them actively. That is the personalized active information service. The intelligent Agent technology plays an important part in carrying on the personalized active information service.The paper has systematically studied the key technology dealing with the Agent-based personalized active information service and puts forward an Internet information retrieval system model for the multi-agent. The system consists of three parts, which are user Agent, information search Agent and information filtering Agent .We should form and train the user Agent through the expression of information requirement and information feedback by the user.The user Agent sums up the three kinds of machine learning methods, through memory observation-based learning, accepting feedback-based learning and induction-based learning of improved ID3 algorithm to study the interests of the user, so as to have intelligence. The information search Agent through its inquiry agent connects Internet search engines, not only realizes meta-search, but also makes self-search on the web, when the recalls couldn't meet the needs of the user. The search algorithm starts its searching from the recalls of inquiry agent to reduce the range of searching and increase the speed of searching. According to the user ready-made information resources, information filtering Agent analyses the user's favorite and adopts vector space method to carry out the personalized information filter.Finally, the paper designed the entire structure of intelligent Agent to ensure the close cooperation of the three models so that the information retrieval can be fully realized personalized, actively and intelligently.