基于社交網(wǎng)絡(luò)模型的智能個人知識庫構(gòu)建
[Abstract]:In recent years, the rapid development of artificial intelligence technology has greatly promoted technological innovation and the development of human society. Intelligent assistant is a new kind of mobile agent software, which is developed with the development of artificial intelligence. The interest of users is dynamic and changeable. In order to provide intelligent and personalized services, the first two problems solved by intelligent assistants are how to learn and adapt to the interests of users. In order to solve these two problems effectively, this paper proposes a scheme to learn and adapt to the interests of users by constructing an intelligent personal knowledge base. The main research contents of this paper are as follows: first, the development status and research focus of intelligent assistant in depth investigation, and analyze the development trend of intelligent assistant in the future. Learn more about open source intelligent helper project Lucida and how it works. Secondly, the knowledge network structure of Wikipedia is analyzed and used as the basic data source to construct semantic entity network. Taking the semantic entity network as a general knowledge base, a method of constructing intelligent personal knowledge base based on social network model is proposed. Firstly, the concept of personal knowledge base oriented to user interest is proposed, and the structure model and construction flow of personal knowledge base are designed, secondly, the quantitative modeling method of user interest is described. Then, an entity synthesis representation model based on semantic entity network and text feature is proposed, and the improved content-based collaborative filtering algorithm and ranking learning algorithm are used to mine user's interest knowledge. Finally, an adaptive evolutionary algorithm of personal knowledge base is designed. Thirdly, it explores the application of personal knowledge base in Q & A system, and evaluates the prototype of personal knowledge base from two aspects of accuracy and timeliness. It is found that the personal knowledge base constructed in this paper can help to understand the user's query intention to a certain extent, improve the accuracy of the question and answer, and greatly reduce the response time of the intelligent question answering system and improve the timeliness of the question and answer system. The validity of the intelligent personal knowledge base method based on social network model is verified.
【學位授予單位】:南昌大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TP18
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