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Recommendation-based browsing assistance for corporate knowledge portals
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Source Symposium on Applied Computing archive
Proceedings of the 2006 ACM symposium on Applied computing table of contents
Dijon, France
SESSION: Poster papers table of contents
Pages: 1116 - 1117  
Year of Publication: 2006
ISBN:1-59593-108-2
Authors
Markus Zanker  University Klagenfurt, Austria
Sergiu Gordea  University Klagenfurt, Austria
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

The management of knowledge, i.e. knowing what is known and the ability to exploit it is a burning issue for most organizations. Though knowledge management has a strong social perspective, information technology supports knowledge management strategies by providing tools that store codified knowledge and allow its retrieval. The value of knowledge management derives from the wide use of the stored knowledge, its annotation and refinement as well as its application in business practices. We support this issue of information browsing and retrieval by adapting and applying recommendation technology to reduce access barriers towards corporate knowledge portals. For this purpose we exploit domain heuristics to improve collaborative filtering techniques in order to cope with the problem of low numbers of users the knowledge portals have.



Collaborative Colleagues:
Markus Zanker: colleagues
Sergiu Gordea: colleagues