Research On Social Context-Aware Personalized Information Service

Mobile Internet has changed the way that the information services are produced and consumed.It has become a hot research topic in both the academic world and the industrial world.The problems such as the information overload and the information confusion confronted by the users in the environment of the mobile Internet are more severe than those in the traditional desktop Internet.Applying the context-aware technology of the pervasive computing to the personalized information services of the mobile Internet can to some extent realize the tailored mobile information services and improve the quality and efficiency of personalized information services.However,the existing context-aware services mainly adopt the set definitions of a small number of experts,which cannot satisfy the need to define,provide and use anytime and anywhere a large amount of diversified and dynamic context information in the environment of the mobile Internet.The dynamic and open socialization driven services led by the mass users can effectively overcome the deficiencies in the existing context-aware personalized method.The thesis proposed a new mode of socialization driven and context-aware personalized information services.The rationale is to introduce the Web 2.0 users’ participation concept and social tagging method,realize the context-aware personalized information services in the environment of the mobile Internet by adopting an open and dynamic socialization driven method led by the mass users,build a fundamental theory and model on socialization driven and context-aware personalized information services in the environment of the mobile Internet,and realize the personalized information services anytime and anywhere in the environment of the mobile Internet through the process of dynamic optimization of contexts and information resources,identifying and obtaining users’ context information,and identifying,obtaining and mapping of context-aware personalized information resources.The research in the thesis was conducted from the following four aspects,namely,fundamental theories,models,methods and applications.(1)In the perspective of theories,the thesis analyzed the fundamental principles,correlations among relevant concepts,and main characteristics of socialization driven and context-aware personalized information services.Based on the theoretical research,the thesis studied the synergy mechanism of socialization driven and context-aware personalized information services,elaborated the interactions between the users’ behaviors and the system processes,designed the association mechanisms connecting the users’ behaviors and the system processes including the generation and management mechanism of physical contexts,association mechanism connecting physical contexts and logical contexts,association mechanism connecting contexts and information resources,and assessment and feedback mechanism.The thesis also examined socialization driven and context-aware personalized process and system,elaborated four correlated links and processes consisting of context modeling and optimizing,information resources modeling and optimizing,satisfying the needs for context awareness,and identifying the context-aware information.(2)In the perspective of model research,on the basis of the theories of extenics and the network science,the thesis built a socialization driven and context-aware personalized information service model in the environment of the mobile Internet,including the matter-element extension model of the contexts and information resources,the association space model of contexts and information resources,complex hyper network model of contexts and information resources.The matter-element model of the contexts and information resources realized the integrated description of physical contexts,logical contexts and the associations of these two contexts,and contexts,information resources and their associations.The association space model of the contexts and the information resources reflected the association characteristics of the physical contexts,logical contexts and users as well as the contexts,information resources and users.The complex hyper network model of contexts and information resources revealed the associations and interactions among multiple factors including things,matters and elements of homogeneity or heterogeneity.(3)In the perspective of methodology,the thesis examined the dynamic optimization method of contexts and information resources,including self-sorting optimization and self-recognizing optimization,elaborated twelve calculating routes in the association space.The thesis then designed the method to identify and obtain the users’ context information,including the sensing and recognition of the both physical contexts and logical contexts,and the method to construct the demands for the integrated users’ comprehensive contexts.The thesis also designed the method to identify and obtain the context-aware personalized information resources,including the construction of information resources tagging,and mapping of the information resources and users’ contexts.The research conducted experimental verification of relevant models and methods through computer simulation with a Matlab written simulation program.(4)In the perspective of theories,the thesis analyzed three existing applications of personalized information services in the mobile Internet,namely,personalized search,personalized recommendation and personalized navigation,summarized the overall process of the context-aware personalized information service system.The thesis then analyzed the context-aware mobile canteen 020 prototype system and its designing method,including the system goals and overall demands,use case model,system class diagram,database design and etc.The thesis presented the operation practice of the system and examined the key technology of the system realization.