Research On Personalized Knowledge Recommendation Service Modeling Based On Agent

With the continuous development of e-commerce and network technology,people are gradually changing the way of knowledge acquisition.With China's entry into the aging society,more and more elderly people hope to obtain the required knowledge and improve their own quality through more intelligent and personalized way.In the "Internet plus education" environment,enhance the quality of resources with great expansion,"information overload" and "information Trek" has become the main obstacle to obtain effective information of elderly population.lt also makes the most suitable for lifting how to push out elderly population quality knowledge resources has become an urgent problem in the multitude of information.This paper is mainly based on Agent technology and ontology technology such as artificial intelligence technology,combined with the personalized knowledge recommendation theory,of the old people's interest and knowledge of demand analysis,and on this basis,build a recommendation model on Semantic Web based intelligent personalized.According to the needs of different aged users,the model can provide the most appropriate demand knowledge for the elderly users.The personalized knowledge recommendation model based on Agent mainly includes the following contents:Firstly,study the background of personalized recommendation system for improving the quality of the elderly,and study the current situation of personalized recommendation and Agent modeling technology at home and abroad.Then,this paper carried out the collation,extraction and collection of the personalized recommendation system of the elderly to enhance the quality of knowledge,and use the theory of ontology knowledge ontology to construct the personalized recommendation system is described,and according to the construction principle of seven step,detailed introduces the process and methods of building the ontology.Then,according to the system goal and function of the personalized knowledge recommendation system based on Agent,the framework of the knowledge recommendation system is designed.This paper mainly uses the AUML language to construct the knowledge recommendation system of the elderly quality promotion,and completes the design of the knowledge recommendation system from a macro perspective.At last,the model of personalized knowledge recommendation based on Agent is designed and implemented.This part mainly introduces the design of knowledge recommendation Agent.First,the SPARQL language is used to search,and then the knowledge matching between the old user needs and the knowledge similarity in the ontology knowledge base is used.The knowledge recommendation system mainly uses the Jena inference engine in Eclipse platform of knowledge recommendation system is designed and implemented,in the search for knowledge,knowledge inference is given by using the Agent knowledge recommendation rules to make recommendations.Finally,the recommended knowledge results are evaluated.This paper enriches the theory of Agent modeling and personalized recommendation model,solves the problem of personalized intelligent recommendation in the field of improving the quality of the elderly,and lays the foundation for system development.