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dc.contributor.authorZanker M
dc.contributor.authorGordea S
dc.contributor.editorHaddad HM
dc.date2017-06-30T00:00:00Z
dc.date.accessioned2017-10-11T11:49:19Z
dc.date.available2017-10-11T11:49:19Z
dc.date.issued2006
dc.identifier.isbn1-59593-108-2
dc.identifier.urihttp://dx.doi.org/10.1145/1141277.1141541
dc.identifier.urihttp://dl.acm.org/citation.cfm?id=1141541
dc.identifier.urihttp://hdl.handle.net/10863/3230
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.titleRecommendation-based browsing assistance for corporate knowledge portalsen_US
dc.typeBook chapteren_US
dc.date.updated2016-12-19T13:57:11Z
dc.publication.titleApplied computing 2006: The 21st Annual ACM Symposium on Applied Computing; Proceedings of the 2006 ACM Symposium on Applied Computing, Dijon, France, April 23 - 27, 2006
dc.description.fulltextinternalen_US


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