Research And Application Of Personality Internet Information Retrieval System

Information retrieval is the process of building up and storing information according to certain ways, and finding the information that users need. In the past man take traditional information retrieval methods, such as card retrieval tools, film tools and CD-ROM retrieval. With the development of information technology and the spread of Internet world widely, the traditional retrieval tools can't meet the demands of people any more. We are looking for the information resources in Internet more and more. In all kinds of information retrieval tools, search engines are used pretty widely, but it is because of their own shortcomings that they win low precision and low recall when searching information, so that man spend much time and energy only to gain little. Faced with the inflatable information day and day, we are difficult in finding the ideal information resources we need. How to make users find the information they need accurately as well as quickly is an urgent problem. Experts have done much research indoors and outdoors, brought about several retrieval methods, and tried to integrate artificial intelligence, data mining, webs contents with user actions, and apply these in information retrieval. The information retrieval of Internet is walking to intelligence and personality. It is based with the research of theory of information retrieval that this paper analyzes the current Internet information retrieval technology firstly, following, it does deep research about personality Internet information retrieval systems and some keystone technologies, then it gives a personality Internet information retrieval model for different users'interests. This model can be not only as a separate retrieval system, but also bedded in other retrieval system as a functional module of personality information retrieval. Finally it gives the building, renew and use of model of users'interests. The implement of user personality model and the retrieval algorithm are also brought forward in this paper. There are some creativity and advance about this model, and it is an explore, which can contribute to research for personality and intelligent information retrieval technologies and is of much reference value.