MISIR: recommendation systems in a knowledge management scenario
被引:3
作者:
Barbosa, Carlos Eduardo
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机构:
Univ Fed Rio De Janeiro, Inst Math, Comp Sci Dept, BR-21941972 Rio De Janeiro, BrazilUniv Fed Rio De Janeiro, Inst Math, Comp Sci Dept, BR-21941972 Rio De Janeiro, Brazil
Barbosa, Carlos Eduardo
[1
]
Maia, Luciano
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h-index: 0
机构:
Univ Fed Rio De Janeiro, Inst Math, Comp Sci Dept, BR-21941972 Rio De Janeiro, BrazilUniv Fed Rio De Janeiro, Inst Math, Comp Sci Dept, BR-21941972 Rio De Janeiro, Brazil
Maia, Luciano
[1
]
Oliveira, Jonice
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机构:
Univ Fed Rio De Janeiro, Math Inst, Comp Sci Dept, Bloco C,CCMN,Sala E 2206,Ilha Fundao, BR-21945970 Rio De Janeiro, BrazilUniv Fed Rio De Janeiro, Inst Math, Comp Sci Dept, BR-21941972 Rio De Janeiro, Brazil
Oliveira, Jonice
[2
]
de Souza, Jano Moreira
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h-index: 0
机构:
Univ Fed Rio De Janeiro, Inst Math, Comp Sci Dept, BR-21941972 Rio De Janeiro, Brazil
Univ Fed Rio de Janeiro, Grad Sch & Res Engn, BR-21941972 Rio De Janeiro, BrazilUniv Fed Rio De Janeiro, Inst Math, Comp Sci Dept, BR-21941972 Rio De Janeiro, Brazil
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
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.