User Interest Model Of RSS Personalized Information Service Research And Application

With the development of internet, information resource is expanding with an alarming speed, people have to spend too much time and energy on searching needful information. The problems, such as "information overload" and "information labyrinth", which are more and more serious to the ordinary users, so it is requested that personal information service have to be provided urgently.Search engines attempt to resolve the problem of mass information searching, but the number of results returned is too large, and the quality good and evil intermingled, as a result, the choice is very difficult, and these are hysteretic. Moreover, it is necessary for users using search engines have the specialized knowledge and experience of retrieving. However, The RSS (Really Simple Syndication) is an easy way to aggregate information, using RSS technology the latest information can be push to people easily and quickly. However, The current RSS information service content provided to each user is unification, and lacks the personalized characteristic.User modeling technology is the base and core of RSS personalized information service. In the research of user interest model based on RSS data source, a user interest model with tree structure which has three layers, user point, information sorts, and user interest classes had been proposed. In this paper, on the basis of the former model, the form of user interest model could be improved, and the keyword's weight determination could be improved by adding the date in it. On the other hand, user's interest could be divided into the long-term interest and the short-term interest, which have different update mechanism. The experiment results indicate that the improved user interest model is well personalized and efficiently updated. The application of model in the agriculture information field, has confirmed the paper research application value.