隨著近年來資通訊科技的快速發展，許多人們的日常生活已與網路服務有著密不可分的關係了，而網頁搜尋更是其中最具影響力的創新工具，讓人們能隨時隨地獲取所需的資訊；然而，產學界迄今的研究發展方向仍多僅偏重於個人化搜尋，可適用於群體 (例如：工作同事、共同修課的小組成員、一同規劃自助旅行的好友等) 的搜尋模式，卻尚未引起廣大的研究興趣；因此，我們在本研究計畫中提出在搜尋過程中導入群體智慧的觀念，當使用者們即使面對不太熟悉的搜尋目標時，也能有效率地集結眾人的意見進而轉化為決策，更規劃能讓使用者們以非同步的方式，亦即在不同時間、地點都可以分工合作，以達到協作搜尋的效果。我們強調透過此系統，讓使用者可以在非同步的情況下進行協作搜尋，並且解決了在搜尋過程中需要的使用者互動及任務規劃的問題。最後，我們會假設情境來評估及驗證此技術對於協作搜尋的可行性及效能。

As information and telecommunication technologies advance at a rapid pace recently, network services have already become an inseparable part of one's daily life for many people. Web search is then undoubtedly a major entry of the Internet for most users when acquiring information, especially for mobile users. However, the recent research direction of this field is too much focused on the improvement of personalized search. We thus propose in this work an idea of collaborative search to reflect the collective intelligence of colleagues working on the same work, students taking the same course, friends planning an upcoming trip and so on. With a proper cooperation, users may work together during their search process in an efficient way even if they are not familiar with their search target. Also, it is noted that users may conduct their search activities in different time and places. We emphasize such an asynchronous style of collaborative search and especially address the features of user interaction and task planning in this work. Moreover, several usage scenarios are developed to verify the feasibility of the proposed technique in accomplishing collaborative search.

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