A study of Document Recommendation in Organizations with Personal Folders

• Main Author: 黃秋雯
• Other Authors: Duen-Ren Liu
• Format: Others
• Language: en_US
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/25054357342196656855

碩士 === 國立交通大學 === 資訊管理研究所 === 93 === Sharing sustainable and valuable knowledge among knowledge workers is a prominent activity of knowledge management. In organizations, knowledge workers usually have their own personal folders that store and organize needed codified knowledge (textual documents) in taxonomy. In such personal folder environments, providing knowledge workers needed knowledge from other workers’ folders is important to facilitate knowledge sharing. Recommendation techniques have been successfully used in various applications to recommend items such as movies and products to individual user. This work adopts recommendation techniques to provide knowledge workers needed textual documents from other workers folders. Several approaches have been investigated and proposed, including content-based filtering, collaborative filtering and hybrid approaches for recommending textual documents in personal folder environments. Experiments are conducted to verify the performance of various methods using data collected from a research institute laboratory. The experimental result shows that the hybrid approach outperforms other methods.