MISIR: recommendation systems in a knowledge management scenario

被引:3
作者
Barbosa, Carlos Eduardo [1 ]
Maia, Luciano [1 ]
Oliveira, Jonice [2 ]
de Souza, Jano Moreira [1 ,3 ]
机构
[1] Univ Fed Rio De Janeiro, Inst Math, Comp Sci Dept, BR-21941972 Rio De Janeiro, Brazil
[2] Univ Fed Rio De Janeiro, Math Inst, Comp Sci Dept, Bloco C,CCMN,Sala E 2206,Ilha Fundao, BR-21945970 Rio De Janeiro, Brazil
[3] Univ Fed Rio de Janeiro, Grad Sch & Res Engn, BR-21941972 Rio De Janeiro, Brazil
关键词
recommendation systems; profile similarity; knowledge management; KM; web community;
D O I
10.1504/IJCEELL.2010.031651
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In a scientific scenario we can notice the predominance of explicit knowledge being manipulated and distributed, which makes recommender systems very useful in this environment. But along with a knowledge management approach this kind of system can support the organisation in better identifying competences, help engage users in a continuous and dynamic knowledge exchange and customise knowledge dissemination as much as possible. MISIR is a collaborative recommender system, developed to help to the process of knowledge exchange. In this work we detail a collaborative recommender system which is used in a scientific knowledge management environment; we show how this approach can be aimed at a KM process and how this approach can deal with other kinds of knowledge used in research centres and universities.
引用
收藏
页码:89 / 102
页数:14
相关论文
共 6 条
[1]   Fab: Content-based, collaborative recommendation [J].
Balabanovic, M ;
Shoham, Y .
COMMUNICATIONS OF THE ACM, 1997, 40 (03) :66-72
[2]  
Breese J.S., 1998, P 14 C UNC ART INT, P43, DOI DOI 10.1111/J.1553-2712.2011.01172.X
[3]  
O'Connor M, 1999, WORKSH REC SYST ALG
[4]  
Oliveira J, 2005, P I KNOW 05 JUN GRAZ
[5]   CinemaScreen recommender agent: Combining collaborative and content-based filtering [J].
Salter, J ;
Antonopoulos, N .
IEEE INTELLIGENT SYSTEMS, 2006, 21 (01) :35-41
[6]  
Shardanad U., 1995, P 1995 ACM C HUM FAC, P210