云服务平台下考虑用户偏好的设计服务推荐方法  

A Design Service Recommendation Method for Considering User Preference under Cloud Service Platform

作　　者：赵杭 莫蓉[1] 陈登凯[1] 成方敏 肖江浩 ZHAO Hang;MO Rong;CHEN Dengkai;CHENG Fangmin;XIAO Jianghao(Key Laboratory of Industrial Design and Ergonomics,Ministry of Industry and Information Technology,Northwestern Polytechnical University,Xi'an 710072,China)

机构地区：[1]西北工业大学工业设计与人机工效工业和信息化部重点实验室,西安710072

出　　处：《机械科学与技术》2021年第11期1723-1729,共7页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家重点研发专项课题项目(2019YFB1405702)。

摘　　要：为提高云服务平台下产品设计服务推荐的质量,增强协同产品设计过程中用户与服务提供方之间的交互,构建了个性化产品设计服务推荐框架,并提出考虑用户需求偏好的设计服务推荐方法。采用模糊C均值聚类算法实现用户初步聚类;利用改进的基于用户的协同过滤方法优化用户相似度函数及评分预测函数,以提高目标用户对设计服务推荐项目预测评分的准确性;通过用户对设计服务推荐结果的交互反馈,完成产品设计服务的更新迭代。以设计云服务平台上用户对壁挂式智能空调设计的需求为例,验证了所提方法的有效性。Under the cloud service platform,in order to improve the quality of product design service recommendation and enhance the interaction between users and service providers during the process of product collaborative design,the framework of personalized product design service recommendation was built,and a design service recommendation method for considering user demand preference was developed.Firstly,Fuzzy C-means(FCM)clustering algorithm was adopted to fulfill initial clustering of users.Then,optimizing the function of user similarity and score prediction by improved collaborative filtering method based on user(User-based CF)to increase the accuracy of the target users for predicting scores design service recommendation items.Finally,the update and iteration of product design services could be realized through the interactive feedback of users on design service recommendation results.The design requirement of wall-mounted intelligent air conditioning which submitted by the users in Design Cloud Service Platform was taken as an example to verify the effectiveness of the proposed method.

关 键 词：云服务平台 用户需求偏好 模糊C均值聚类算法 设计服务推荐 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]