摘要
软件外包平台中企业需求方寻找合适开发者常常效率低。为解决该问题,分别通过三个维度对软件项目需求进行建模,并利用贝叶斯推理构建基于需求方软件项目需求的多维度偏好模型,提供了一种基于软件项目的协同过滤推荐算法,来实现需求方对开发者的协同过滤推荐与优质匹配。并通过实验实例和评分比较,验证了基于多维偏好模型的开发者推荐策略其有效性。
It is often inefficient to find suitable developers on the demand side of software outsourcing platform.In order to solve this problem,three dimensions are used to model the software project requirements,and Bayesian inference is used to construct a multi-dimensional preference model based on the demand-side software project requirements.A collaborative filtering recommendation algorithm based on software project is provided to realize the demand-side collaborative filtering recommendation and high-quality matching.The validity of developer recommendation strategy based on multi-dimensional preference model is verified by experimental examples and score comparison.
作者
谭鸿乐
沈春龙
何嘉欣
TAN Hongle;SHEN Chunlong;HE Jiaxin(Computing Academy,University of South China,Hengyang 421001)
出处
《现代计算机》
2021年第19期41-44,57,共5页
Modern Computer
基金
湖南省大学生创新创业训练计划项目(No.S201910555009)。
关键词
软件外包
协同过滤
贝叶斯推理
偏好模型
Software Outsourcing
Collaborative Filtering
Bayesian Inference
Preference Model
