Distributed E-commerce Commodity And Patent Intelligence Analysis Platform

With the rapid development of Internet technology,the e-commerce industry has also grown.Online shopping has become a common thing in people's daily life.However,in the e-commerce industry,because of the information asymmetry or a lot of useless information duplication,buyers are always difficult to identify product quality.And e-commerce illegal businesses are always playing "cat and mouse" games with the counterfeiting department of the platform,in the cycle of registration and prohibiting registration.At the same time,some manufacturers' product designs are always difficult to have innovations or creative points or the points have been similar to others but not been discovered.Though,they product a lot but not be accepted by the market.It shows that a large number of fake and shoddy products have seriously affected the development of the e-commerce industry.Big data technology handles information from multiple sources,fully taps related information such as product information,financial credits,and user personal choices,and excavates high-value information related to the target audience from seemingly unrelated or unrelated data.This research topic has developed a distributed electricity supplier commodity and patent intelligence analysis platform based on the research of intellectual property in our laboratory and the big data technology in recent years.Comprehensively correlate intellectual property information with product information,conduct in-depth excavation and analysis of e-commerce products,allow manufacturers to conduct design analysis and industry comparison beforehand,and platform counterfeiting departments conduct early warning analysis in the event,so the buyers can use early warning results for better product analysis in the shopping process.The mainly research work of this thesis is as follows:Firstly,link the e-commerce product information and patent information creatively,and use the big data algorithm to analyze the correlation between product information and patent information.On the one hand,it has broadened the cross-border e-commerce data comparison of e-commerce products.On the other hand,it has deepened vertical data correlation analysis of e-commerce products and intellectual property rights,making the data analysis results more in-depth and more accurate.Secondly,improve data processing capabilities,design a distributed network crawler and designed a cache and built a load balancing database cluster.While increasing the amount of data on the platform,the efficiency of data response is ensured,and read-write separation and load balancing technologies are used to split database table data.The use of dual-system hot-standby technology improves the reliability of the database.Thirdly,design and implement distributed deployment and integration of loosely coupled different business services.Research and utilize distributed processing technologies,encapsulating different business services into program logic units of independent business modules,and realizing distributed e-commerce products And patent intelligence analysis platform.The horizontal scalability of the system's business functions is enhanced to increase the overall system response speed.This paper strictly follows the basic requirements of the software development life cycle,developing a distributed e-commerce commodity and patent intelligence analysis platform and finally publishes on-line.The platform associates the e-commerce product information and patent information,horizontally expands the comparison of e-commerce data,and deepens the e-commerce data mining.At the same time,the distributed technology has enhanced the system's operating speed and reliability,providing a number of features such as graph search products,graph search patents,data analysis and early warning reports,etc.It has benefited more and more consumers and provided support for producers and platforms,counterfeiting departments.So the e-commerce data can make a greater commercial value.