Research On The Mining And Verification Methods Of Cross-border Service Model

The rapid development of the Internet has prompted service providers to produce new products through cross-border cooperation,which can achieve the purpose of improving the efficiency of enterprises.It is a problem that needs to be solved to recommend service providers for cross-border cooperation for service providers.This article recommends the cross-border cooperation of service providers from two aspects.On the one hand,it recommends service providers that can carry out cross-border cooperation based on the existing cross-border cooperation data set.On the other hand,it is to verify whether the service providers obtained through the above operations can conduct cross-border cooperation through formal modeling.The recommendation of service providers is mainly through analyzing the existing cross-border cooperation data sets to sum up the service providers' cross-border cooperation preferences,so as to make recommendations.The method of verifying cross-border cooperation service providers is mainly to logically analyze the cooperation trajectory between cross-border service providers to obtain the main way for service providers to conduct cross-border cooperation.Then use formal modeling to discuss cross-border services and verify whether the cross-border service providers obtained above are reasonable.Firstly,we need to mine cross-border service models,including describing service providers and obtaining cross-border cooperation data sets.This article analyzes the service provider profile of Baidu Encyclopedia to obtain the service provider's characteristic label,and uses the characteristic label to replace the service provider itself.By analyzing the news data set to obtain the name of the service provider and the existing cross-border relationship in the news,the service provider and the cross-border relationship are used to represent the cross-border cooperation and constitute a cross-border cooperation data set.Secondly,the cross-border cooperation data set is analyzed from the user's perspective,and the similarity between service providers is calculated through a collaborative filtering algorithm to make recommendations.Establish a scoring matrix of service provider-cross-border labels,and consider the similarity between service providers and the similarity between cross-border labels to calculate the score.Use cosine similarity to calculate the similarity between service providers,according to the final Score to choose.Finally,verify the rationality of cross-border services.This article mainly summarizes the main characteristics of service providers' cross-border cooperation from a logical perspective.It can be described by formal modeling,and a service provider model is constructed according to the characteristics of service providersparticipating in cross-border cooperation.Then,by analyzing the service providers in the existing cross-border cooperation facts,the cross-border cooperation methods existing between the service providers are obtained and modeled,and all the results generated through cross-border cooperation can be found through modeling.Finally,the recommended cross-border cooperation service providers are modeled,and the existence of the cross-border cooperation is used to judge whether there is cross-border cooperation,and the reasonableness of the recommended service providers is verified.