Profile Adaptation for Providing Task-relevant Information by Variation of Task Needs
|關鍵字:||資訊過濾;工作需求;適性化技術;工作特徵檔;工作主題變動;合作式工作特徵檔;information filtering;task needs;adaptive profiling technique;self task profile;variation of task-needs on topics;collaborative profile|
In task-based business environments, an important issue of deploying Knowledge Management System (KMS) is providing task-relevant information (codified knowledge) to fulfill the information needs of knowledge workers. In addition, workers need to access lots of textual documents in conducting knowledge-intensive tasks. Accordingly, effective knowledge management relies on using information filtering (IF) techniques to model worker's information needs as profiles and provide relevant information based on the modeled profiles. This research proposes a novel adaptive task-profiling technique to model worker's information needs on tasks, i.e., task-needs. The proposed technique adjusts task profiles to model worker's dynamic task-needs based on the documents accessed by workers and the relevance on the task-based topic taxonomy. Generally, the more recent the document accessed the more important it is to reflect a work's current task needs. Thus, the effect of time factor is considered in profile adaptation. In addition, the proposed profiling technique adopts a novel collaborative profile adaptation approach to adjust task profiles. We analyze the variations of workers' task needs on the topic taxonomy to identify workers with similar variations of task needs on topics (i.e., topic needs) over time. Similar workers' variations of topic needs are used to predict the target worker's future variations of topic needs, and are used to adjust the target worker's task profile. The codified knowledge that is relevant to the current task can be retrieved based on the adjusted task profile to fit the worker's dynamic task needs. Empirical experiments demonstrate that the proposed approach models workers' task-needs effectively and helps provide task-relevant knowledge.
|Appears in Collections:||Thesis|
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