A Research On Personalized Precision Service Based On Active Geographic Perception Technology

The rise of cloud computing,big data technology and the development of the national intelligence service development strategy have a great impact on the information service industry,users of personalized service and precision requirements are also higher.However,the current personalized service system is more accurate consideration of personal preferences,there are few researches on the behavior motivation of user behavior,this creates a lack of service in terms of personalization and precision.Therefore,this paper studies the personalized and precise service push method based on active geographic perception,through the construction of geographic feature information model,based on the real-time positioning technology,real time acquisition of user destination features,then,infer the user behavior motivation and combined with user preferences to retrieve the service content,to improve the service of personalized and accuracy purposes.Around the active geography perception technology and personalized precision service methods,this paper mainly studies the following content:(1)Analyzes the concept,principle,process and key technology of active geographic perception.The main research contents and the relationship between them are determined,and the key problems and corresponding solutions to be solved in the active geography perception research are clarified.In-depth study of real-time location,massive data analysis and massive data retrieval technology to provide theoretical and technical support for active geographic perception(2)This paper studies the construction method of active geographic awareness architecture.First,the content system of geographic features is developed and the methods of extraction and weight calculation are studied.Secondly,based on this,a method of constructing geographic feature information model based on Bson format is proposed.Finally,according to the characteristics of active geography perception,the design of the API with the efficiency and real-time is designed,and the API design specification is formulated to provide technical support for the active geography-sensing cross-platform external service.(3)This paper explores the individualized and precise service push method based on active geographic perception,which is divided into three processes: geographical perception,service retrieval and service push.Design of integrated push content characteristic,three factors of user preference and motivation of service retrieval and push method,and the data optimization,data caching and fast retrieval of the three aspects of algorithm on massive data efficiently and accurately retrieval method,through the establishment of multi index database and the Bit-Map algorithm,we can realize the real-time and efficient retrieval of service content,at the same time,this paper studies the push method suitable for Android,IOS and WebAPP,and through the analysis of the existing push technology,determines the solution based on MQTT as a multi platform push.(4)A personalized service system based on active geographic sensing is designed.The core functions of the system are analyzed in three aspects: user preference,service retrieval and intelligent push.The data structure of the system is analyzed in detail and introduces the realization method of the core function of the system.Finally,the main functions of the system are demonstrated.In addition to the geographical features of personalized service,it can make up for the lack of personalized service and the lack of accuracy due to ignoring the user's motivation,which can significantly improve the service personalization and accuracy.The study of active geography-based service push technology provides a new approach for more accurate and personalized service delivery.