Research On Context Aware Information Service Model Of Mobile Devices And Application Based On Activity Theory

With the rapid growth of mobile Internet users,everyone is at the center of information transmission.The total amount of Internet information resources presents explosive growth.However,a large number of information resources not only do not enable users to obtain the required information in time,but the user is facing more and more severe information overload.Information overload means that users can't find the information they need quickly and accurately from vast amounts of information,and obtain a large number of redundant and irrelevant information.The quality of the information obtained by the users through the information search engine largely depends on the search keywords,and it is difficult to meet the accurate user needs.Mobile device information recommendation system with context aware is becoming the focus of research by acquiring the current situational information of users,and actively recommending personalized information to users.So far,there have been many studies related to information recommendation system,collaborative filtering recommendation,including information content based recommendation,but these recommendation methods lack of consideration of user context information,and the exist problem of the cold start,which can't effectively meet the dynamic needs of the user.In view of the above problems,this paper proposes a context aware information recommendation service model based on activity theory,which.provides a new perspective for understanding context awareness and information recommendation services.This paper proposes the information recommendation method based on context ontology modeling and inference rules.This method calculate the custom rules and contextual semantic information,and the recommendation system can make full use of the context information of users,and on the basis of inference rules get the right information resource recommendation.Through the application research in the field of reading,we verify the scalability of the model and the effectiveness of the recommendation method.The main work of this paper is as follows:1?Through the arrange of context aware process,the activity theory and context aware information recommendation process are combined and context aware information service model based on activity theory is constructed.This paper put forward situation modeling and reasoning rules of information recommendation method.2?Develop the application research of context aware information service model based on Activity Theory in personalized reading domain,realize the context ontology modeling in reading domain,and design and implementation of personalized reading inference rule.3?Design personalized reading information recommendation system prototype to realize context aware personalized reading recommendation service.