DocumentCode
2377957
Title
Bringing knowledge into recommendation systems
Author
Tomaz, Luiz F c ; Nt, José A Rodrigues ; Souza, Jano M. ; Xexéo, Geraldo B.
Author_Institution
Grad. Sch. of Eng., Univ. Fed. do Rio de Janeiro, Rio de Janeiro, Brazil
fYear
2011
fDate
8-10 June 2011
Firstpage
246
Lastpage
252
Abstract
Recommendation systems are largely used nowadays to support collaborative tasks. However it is important to consider the knowledge about each user of the system. In this paper we describe the use of knowledge to improve the recommendation system of the Business Process Cooperative Editor (BPCE), a collaborative business process modeling tool. We introduce the concept of Knowledge Vectors, and how they are applied to BPCE, balancing recommendations with the knowledge the recommender has on the subject of the evaluated model.
Keywords
business data processing; groupware; recommender systems; Business Process Cooperative Editor; collaborative business process modeling tool; knowledge vector; recommendation system; Accuracy; Collaboration; Computational modeling; Data mining; Knowledge engineering; Organizations; Business Process Management; Computer Supported Cooperative Work; Knowledge Management; P2P; Process Modeling; Recommendation; Reuse;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Supported Cooperative Work in Design (CSCWD), 2011 15th International Conference on
Conference_Location
Lausanne
Print_ISBN
978-1-4577-0386-7
Type
conf
DOI
10.1109/CSCWD.2011.5960081
Filename
5960081
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