本研究提出一個以群聚演算法為基礎的知識(文件)管理系統，除了用客觀的績效評估指標，如正確率、喚回率及系統處理時間來比較不同演算法間的效率及效果外，並以實驗室實驗法來比較傳統分類搜尋機制與本研究所提出之分類搜尋機制作一使用者認知的比較分析。
在客觀的績效評估指標上，本研究提出之文件分類系統(中文)不論在正確率、喚回率及系統總處理時間上取得很大的進步。
本研究並提出一個以使用者認知角度為出發點的績效評估模式來做為我們的研究架構，其中任務複雜度與系統功能性為兩個自變數，而使用者認知的易用性、有用性及使用者資訊滿意度為應變數，代表一個搜尋過程中，使用者感受到的系統績效。所以本研究目的為1)了解任務複雜度對於系統績效的影響；2)了解系統功能性對於系統績效的影響; 3)任務複雜度與系統功能性之間的交互作用是否對系統績效有影響。
在本研究實證資料分析結果，只有系統功能性(即比較傳統與本研究所提出的分類搜尋機制)對於使用者認知的系統績效有顯著的影響。雖然任務複雜度在本研究中沒有顯著的影響，在研究限制與未來研究建議中，我們仍就實驗設計與任務難易認定上提供一些意見予往後有興趣於相關課題的研究者。

In this study, a proposed document (knowledge) management system based on a text-mining technique will be tested in an experiment manner. Two independent variables, task complexity and system functionality, are chosen in this experiment.
Thus, the main goal of this study will be: 1) to understand how different level of task complexity would affect the system performance; 2) to understand how different system functionality would affect the system performance; 3) to understand how the interaction effect of task complexity and system functionality on the system performance.
The physical configuration of proposed system will be measured in comparing with another classification algorithm in efficiency and effectiveness manners.
Experimental and analytical results show that system functionality significantly influence system performance perceived by users. Although another effect of task complexity on system performance is not significant, we still discuss the research limitations and provide some suggestions to overcome them for future experiments and researchers.

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