Research Of Brand Recommendation And Automatic Protection Technology

With the development of the Internet,more and more consumers choose to buy products or services on e-commerce website.However,e-commerce lack of physical experience,in order to make the right decision to purchase,consumers often make purchase decisions by reference to the reputation of the Internet,so the internet word-of-mouth marketing came into being.But some businesses spread false information on the network to suppress competitors,so that consumers cannot make right decisions.In order to maintain the brand image,to ensure the normal operation of the business,the urgent need for a network of word of mouth protection system,to fight against malicious slander,to maintain the brand image.This paper focuses on this research,aiming to provide the network brand assurance technology.In order to support the automatic protection of Internet word of mouth,this paper focuses on the following key techniques:1)Word of mouth monitoring technology,In order to monitor the situation of Internet reputation,we introduce a topic based web crawler,through the topic similarity computation to improve the efficiency of information acquisition,and finish the content extraction and storage of topic information.2)Account automatic registration technology,design automatic registration through the analysis of different sites registered HTTP data stream,it can omit tedious manual steps and build a large account database in a short period of time.3)Automatic review technology,through the analysis of the HTTP protocol workflow in the process of network review,based on word of mouth monitoring results,call account library and material library,to proceed automatic counter attack for web reviews.4)The verification code recognition technology,improve the efficiency of automatic registration and automatic comment by researching of the connected area and the projection based character segmentation technology,and the pixel feature and edge feature based character recognition technology.Based on above key technologies,this paper designs and implements a practical network brand recommendation and automatic protection system.Determine the system function through demand analysis,determine the module task and interface through outline design,determine algorithm flow through detailed design,meanwhile,designed user friendly interface and task management function.In the end,the system is implemented,tested and deployed efficiently,the actual operation results show that the system achieves the expected effect of brand reputation protection,and verifies the effectiveness of the above techniques and designs.This system has important practical value.