DocumentCode
2765848
Title
Recommender Systems for Knowledge Teams
Author
Almeida, Vanessa ; Motta, Claudia ; Mendes, Sueli
Author_Institution
Univ. Fed. do Rio de Janeiro
fYear
2006
fDate
3-5 May 2006
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CSCWD.2006.253215
Filename
4019251
Link To Document