Research And Implementation Of Scientific Thesis Analysis System Based On Spring Cloud

As the number of people engaged in scientific research has increased,the requirement for scientific and technological achievements systems has also changed.Through the investigation of the scientific and technological achievements management system,first of all,the current system of scientific and technological achievements mostly uses a single architecture,which easily leads to the problems of too complex business logic,poor maintainability and scalability of the system in the later period.Secondly,most of the current scientific and technological achievements systems lack analysis of scientific thesis,which makes it difficult to effectively provide rich data analysis functions,thus making users unable to obtain effective information from large amounts of data.Therefore,in view of the above problems,this thesis designs and implements a scientific thesis analysis system based on Spring Cloud microservice architecture.The main work of this thesis includes:1.System requirements analysis and overall functional design.In order to solve the problems of single structure used in most scientific and technological achievement systems and lack of analysis function of scientific and technological papers in the systems,functional and non-functional requirements analysis is carried out.The main functional modules included in the system include: user management module,thesis management module,thesis query module,hot word analysis module and thesis recommendation module.2.Microservice architecture design and core functional algorithm design.This thesis designs the overall architecture of the system,constructs the data processing microservices group,algorithm microservices group and function realization microservices group,and designs the key components,databases and core functions used in the system.Besides,the hot word ranking function is realized by search algorithm based on user voting.The hot word trend function is implemented by time series algorithm.The periodical evaluation function is archived by PageRank algorithm.And the thesis recommendation function is realized by user-based collaborative filtering algorithm.3.System implementation and test evaluation.This thesis implements a scientific thesis analysis system based on Spring Cloud microservice architecture,and tests the system to verify the availability of the system.The test results of the hot word ranking function,the hot word trend function and the journal evaluation function are analyzed to verify the accuracy of the calculation and prediction.This thesis designs and implements a scientific thesis analysis system based on Spring Cloud microservice architecture,which can improve the maintainability,scalability and reusability of the system later,and also provide users with popular research vocabulary and trends of popular vocabulary.