COGNITIVE OVERHEAD REDUCING BASED ON COLLABORATIVE FILTERING IN PROJECT MANAGEMENT
As projects are scaled up to share a large amount of data or to handle a large number of users, a large amount of data can be potentially available to project members, and the shared data can frequently change due to modifications by project members or external sources. Reducing cognitive load on users by better organizing coordination activity, by filtering unnecessary information, and by delivering key information can greatly increase the effectiveness of project management. In this paper, we propose an approach of cognitive overhead reducing based on collaborative filtering (CF)algorithm called personality diagnosis (CFCOR). Given a list of artifacts user had accessed in a project and a new artifact, we compute the probability that he or she will need the new artifact.
Collaborative filtering Project management Statistical learning estimation
HUA CHEN QIN-MING HE JIAN-FEI QIAN
College of Computer Science, Zhejiang University, Hang Zhou 310027, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
3450-3454
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）