Research On User Profile In The Agricultural Intelligent Question Answering System

With the development of internet,the shortcomings of lower precision of traditional search engines have been revealed.Individuation service emerges as the times require.The user profile,as the core of personalized system, is growing recognition. This paper study and research on the modeling and updating method of user profile,and bulids the Agricultural Intelligent Question Answering System.The system excavates and analyzes the the accessed pages and Web logs,doesn't ask the client users to participate in it too much. It can automatically analyzes and deduces user profile , subsequently builds and update the model of profile .Besides this system imitate human oblivious rules to forgets the different kinds of interests in varying degrees.Through regular updating the model, making it more and more to get close the user'sreal intentions.This article mainly studies and researches on from the following aspects:(1) The key technology of information retrieval system is comprehensively studied in this paper, the core problem and the key techniques how to construct Ontology-Based Preference Model is mainly studied(2) The user profile model is mainly studied in this paper,and the representation ,modeling method,updating method and so on is discussed,finally a new algorithm for updating the model is put forward.(3) Based on studying and research on the traditional agricultural websites, the Agricultural Intelligent Question Answering System is build。(4) Test data is designed in earnest the algorithm and the model is ,experimented and analysised, its effectiveness is verified.