标题: | Document recommendation for knowledge sharing in personal folder environments |
作者: | Liu, Duen-Ren Lai, Chin-Hui Huang, Chiu-Wen 资讯管理与财务金融系 注:原资管所+财金所 Department of Information Management and Finance |
关键字: | document recommendation;knowledge management;personal folder;knowledge sharing;text classification |
公开日期: | 1-八月-2008 |
摘要: | Sharing sustainable and valuable knowledge among knowledge workers is a fundamental aspect of knowledge management. In organizations, knowledge workers usually have personal folders in which they organize and store needed codified knowledge (textual documents) in categories. In such personal folder environments, providing knowledge workers with needed knowledge from other workers' folders is important because it increases the workers' productivity and the possibility of reusing and sharing knowledge. Conventional recommendation methods can be used to recommend relevant documents to workers; however, those methods recommend knowledge items without considering whether the items are assigned to the appropriate category in the target user's personal folders. In this paper, we propose novel document recommendation methods, including content-based filtering and categorization, collaborative filtering and categorization, and hybrid methods, which integrate text categorization techniques, to recommend documents to target worker's personalized categories. Our experiment results Show that the hybrid methods Outperform the pure content-based and the collaborative filtering and categorization methods. The proposed methods not only proactively notify knowledge workers about relevant documents held by their peers, but also facilitate push-mode knowledge sharing. (C) 2007 Elsevier Inc. All rights reserved. |
URI: | http://dx.doi.org/10.1016/j.jss.2007.10.027 http://hdl.handle.net/11536/8483 |
ISSN: | 0164-1212 |
DOI: | 10.1016/j.jss.2007.10.027 |
期刊: | JOURNAL OF SYSTEMS AND SOFTWARE |
Volume: | 81 |
Issue: | 8 |
起始页: | 1377 |
结束页: | 1388 |
显示于类别: | Articles |
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