基于推荐算法的能力验证公共服务平台建设

Construction of capability verification public service platform based on algorithm optimization

目的基于推荐算法建设能力验证公共服务平台。方法利用大数据和人工智能相关技术,通过对历年能力验证数据进行预处理后,建立提供者和参加者的供需匹配的推荐算法模型并进行训练,在训练达到要求后,在能力验证核心业务流程中验证本算法推荐准确度。深入挖掘能力验证领域各方需求,整合能力验证领域各方资源,使用统一的数据规范,统一的业务流程,统一的业务描述方法建设全国性的能力验证公共服务平台。结果通过使用推荐算法模型,在平台开展能力验证业务的提供者和参加者的供需匹配,较未使用算法的其他平台有较好的拟合度。结论基于推荐算法的能力验证公共服务平台的建设提高了能力验证行业的信息化和智能化水平,有助于改善行业供求关系,一定程度上促进了能力验证提供者的技术水平与服务质量提升。

Objective To build capability verification public service platform based on the proposed recommendation algorithm.Methods Using big data and artificial intelligence related technologies,after the preprocessing of the ability verification data over the years,the recommendation algorithm model of the supply and demand matching between the provider and the participant is established and trained.After the training meets the requirements,the recommendation accuracy of the algorithm is verified in the core business process of the ability verification.Further explore the needs of all parties in the field of capability verification,integrate the resources of all parties in the field of capability verification,and build a national public service platform for capability verification by using unified data specification,unified business process and unified business description method.Results By using this algorithm model,the supply and demand matching of the providers and participants in the capability verification service on the platform has a better fit than other platforms without using the algorithm.Conclusion The construction of the public service platform for capability verification based on recommendation algorithm improves the informatization and intelligence level of the capability verification industry,helps to improve the supply and demand relationship of the industry,and to some extent promotes the technical level and service quality of the capability verification providers.