Title :
Recommender Systems for Knowledge Teams
Author :
Almeida, Vanessa ; Motta, Claudia ; Mendes, Sueli
Author_Institution :
Univ. Fed. do Rio de Janeiro
Abstract :
Work teams involved in intense work on knowledge deal with the difficulty of making decisions. They usually have to choose between several options. Work teams members have to evaluate these options by defining common evaluation criteria and analyzing information. This paper proposes the use of recommender systems for groups, based on fuzzy evaluations, to help teams make decisions
Keywords :
decision making; fuzzy set theory; groupware; information filtering; information filters; knowledge management; team working; decision making; fuzzy set theory; information filtering; knowledge teams; recommender systems; work team members; Collaborative work; Computer aided software engineering; Filters; Fuzzy set theory; Fuzzy systems; Information analysis; Natural languages; Programming; Recommender systems; Software tools; Fuzzy systems; Knowledge teams; Recommender systems;
Conference_Titel :
Computer Supported Cooperative Work in Design, 2006. CSCWD '06. 10th International Conference on
Conference_Location :
Nanjing
Print_ISBN :
1-4244-0164-X
Electronic_ISBN :
1-4244-0165-8
DOI :
10.1109/CSCWD.2006.253215
