Please use this identifier to cite or link to this item:
Title: An inner-enterprise knowledge recommender system
Authors: Zhen, L. 
Huang, G.Q.
Jiang, Z.
Keywords: Context awareness
Knowledge management
Recommender system
Issue Date: Mar-2010
Source: Zhen, L., Huang, G.Q., Jiang, Z. (2010-03). An inner-enterprise knowledge recommender system. Expert Systems with Applications 37 (2) : 1703-1712. ScholarBank@NUS Repository.
Abstract: This paper proposes a model of the inner-enterprise knowledge recommender system. Among an organization, different members have different demands for knowledge in different context. Comparing with traditional knowledge query way, the knowledge recommender systems supply us a more proactive way that could deliver the proper knowledge to the proper people at the proper time. The recommendation mechanism is based on semantic matching on context information from both users' side and knowledge's side. Recommendation rules are also maintained in the recommendation engine, which is the core module in the system. By adjusting the rules, the configuration of the knowledge recommender system could be adapted to different users. This paper presents the system design as well as some key technologies analysis, and also discusses the advantages and preconditions for implementing the proposed system. © 2009 Elsevier Ltd. All rights reserved.
Source Title: Expert Systems with Applications
ISSN: 09574174
DOI: 10.1016/j.eswa.2009.06.057
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Mar 8, 2018


checked on Feb 7, 2018

Page view(s)

checked on Mar 12, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.