The Study Of The Intellectualized Searching Methods In The System Of Educational Resources Distributing

In the dissertation, the problem on how to improve the intellectualized level and the self-choice ability of resource-searched distribution in the resource-distributed system is mainly studied in allusion to the current status of resources search and distribution in our country's education field. Firstly the dissertation introduces and analyses the history and the current status about the computer's resource-distributed system briefly. Next it researches some structure and technique problems of resource-searched module. The whole system consists of three parts: the personalized resource-built module, the intelligent resource-searched module and the intelligent resource-distributed module. Among them, the intelligent resource-searched module is composed of three sub-modules: the user sub-module, resource-searched sub-module and the information-filtered sub-module. This dissertation pays emphasis on the intelligent resource-searched module, of which the user module, resource-searched module and the information-filtered module have been studied a lot. In the user sub-module it uses ID3 algorithm ameliorated to improve the study efficiency of the whole system. In the resource-searched sub-module it uses the limited depth-breadth priority algorithm to search the resources automatically. Thus the searching is self-determination and intelligence. In the information-filtered sub-module it uses vector space method to filter the information, so it makes searching personalized in some degree. The article solves the problem of low efficiency and deficiency of intelligence in the traditional resource-distributed system. The function of intelligent decision support is added to the system. And thus it has the function of computer-aided decision and realizes the aim to intelligent computer-aided decision.