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dc.contributor.authorWu, I-Chinen_US
dc.contributor.authorChang, Pei-Chengen_US
dc.date.accessioned2017-04-21T06:49:45Z-
dc.date.available2017-04-21T06:49:45Z-
dc.date.issued2006en_US
dc.identifier.isbn978-0-7695-2749-9en_US
dc.identifier.urihttp://dx.doi.org/10.1109/WI-IATW.2006.39en_US
dc.identifier.urihttp://hdl.handle.net/11536/134484-
dc.description.abstractWith the increasing amount of information (and knowledge) in organizational memories and the phenomenal growth of the World Wide Web, knowledge workers are increasingly suffering from information overload Because of the growing complexity of knowledge-intensive tasks, a profiling technique is needed to deliver task-relevant documents to workers. In this study, we propose a task-stage identification technique that provides effective document support throughout the execution of a task. A pattern similarity analysis method based on the correlation value is used to identify a worker\'s task-stage. The results are incorporated into a profile adaptation process to generate the worker\'s current task profile. We conducted a pilot study in a research institute. The results confirm the effectiveness of the proposed document support process in a knowledge-intensive working environment.en_US
dc.language.isoen_USen_US
dc.titleAn exploratory study of incorporating task-stage identification into a long-term document support processen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/WI-IATW.2006.39en_US
dc.identifier.journal2006 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WORKSHOPS PROCEEDINGSen_US
dc.citation.spage277en_US
dc.citation.epage+en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000244608000061en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper