关键词: 云服务平台, 业务流程定制, 用户聚类, 协同过滤, 基于内容的过滤, 混合推荐技术

Abstract: In the personalized business process customization environment,recommendation technology is introduced to improve the user's customization efficiency,but the existing recommendation technology has many problems,such as the new users,the lack of diversity of recommendation results and low recommendation quality.To give full play to the advantages of recommended technologies and solve the above problems,a service recommendation scheme suitable for business process customization environment was proposed.In this scheme,the clustering algorithm was used to solve new user problems,then the collaborative filtering was optimized to improve the diversity of recommendation results.The content filtering was built to screen out “pseudo-neighbors” for improving the recommendation quality,and the candidate services were recommended to the user to improve customization efficiency.The experimental research proved that the scheme proposed could solve the problem of new users,improve the diversity of recommendation results and recommendation quality,and enhance the customization efficiency of the users.

Key words: cloud service platform, business process customization, user clustering, collaborative filtering, content-based filtering, hybrid recommendation technology