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研究生:張瑋豪
研究生(外文):Wei-HaoChang
論文名稱:以點擊行為追蹤與資料視覺化技術支援情報式網頁搜尋
論文名稱(外文):Supporting Informational Search with Click Tracking and Data Visualization Techniques
指導教授:鄧維光
指導教授(外文):Wei-Guang Teng
學位類別:碩士
校院名稱:國立成功大學
系所名稱:工程科學系
學門:工程學門
學類:綜合工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:英文
論文頁數:57
中文關鍵詞:情報式搜尋點擊行為追蹤資料視覺化
外文關鍵詞:Informational searchClick trackingData visualization
相關次數:
  • 被引用被引用:0
  • 點閱點閱:253
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  • 下載下載:51
  • 收藏至我的研究室書目清單書目收藏:0
在這資訊爆炸的時代,人們往往會藉由網頁搜尋的方式來獲取所需的資訊,在情報式網頁搜尋此一意圖中,使用者透過瀏覽搜尋引擎所傳回的搜尋結果,一邊思考著搜尋結果中是否有相關資訊,並且點擊和查看其中感興趣的部分,而使用者也可能繼續開啟一個新的搜尋以尋找更多資訊。這樣的過程可能會一再重複,直到使用者滿足於所得到的資訊為止,例如:搜尋「飼養寵物」時,有的人想尋找的是適合小空間飼養的寵物,有的人想尋找的是如何飼養最奇特的寵物,而有的人卻只是想要瞭解飼養寵物有哪些責任,一旦滿足其心中所期待的搜尋目的,使用者便會停止搜尋,因此可以發現不同使用者搜尋同一個關鍵詞時也可能有截然不同的搜尋歷程。在本研究中,我們以追蹤使用者的點擊行為來辨識出其正在進行情報式搜尋,點擊行為是一種隱性回饋的資料,因此使用者不需要做額外的動作來提供回饋資料;此外我們更利用了資料視覺化及重新使用點擊資料的概念來輔助使用者進行搜尋,資料視覺化能夠把複雜難懂的資料在經過處理後呈現給使用者,讓使用者容易就能夠看出資料的特性,幫助使用者更有效地完成搜尋任務。藉由我們所提出的方法,即便使用者對於搜尋目標沒有很明確或者對於關鍵字沒有太多想法的情況下,亦能獲得相關的關鍵字參考選項,幫助有不同考量的使用者做決策。最後,我們利用實做出的原型系統,請受試者實際使用並給予評估,記錄其執行不同搜尋任務所花費的時間,並與直接使用搜尋引擎的結果做比較,可驗證得知我們所提出的系統能幫助使用者較快速地完成情報式搜尋。
In the era of information explosion, people commonly use web search to obtain required information. When conducting informational web search, a user may browse search results returned by the search engine, locate the relevant information in need, click on interesting entries and scrutinize them. Additionally, he or she may start a new search session to find more information. This process iterates until he or she is satisfied with all obtained information. For example, when conducting a web search on “keeping a pet,” some people are looking for small-sized pets, some others are looking for the most exotic pets, and some more others just want to know the responsibility of keeping a pet. It is thus observed that there are different search activities for different people even if they start with identical keywords. In this work, we propose to track the click behavior of a user so as to identify an informational search. Note that click behavior is an implicit type of user feedback. Moreover, we also exploit data visualization techniques and reuse click data to support the process of an informational web search. Note that data visualization makes it easier to understand complicated data by illustrations. Even if a user does not have a clear search target or appropriate keywords, our approach still works by showing relevant keywords to help him or her make decisions. Finally, volunteers are asked to evaluate the performance of our prototype system by completing several quizzes. In each quiz, the corresponding time consumption is compared with that of directly using a search engine. Experimental results show that our approach help users to accomplish their informational web search in a more efficient way.
Chapter 1 Introduction 1
1.1 Motivation and Overview 1
1.2 Contributions of This Work 2
Chapter 2 Preliminaries 3
2.1 Common Activities in Web Search 3
2.2 Search Tasks and Sessions 4
2.3 User Click Behavior 6
2.4 Supporting a Web Search 8
Chapter 3 Identifying and Supporting the Informational Web Search 12
3.1 Predicaments of Simple Identification on Informational Search Behavior 12
3.2 Identifying an Informational Search 14
3.3 Instant Support for Informational Web Searchers 16
Chapter 4 Prototyping and Evaluation of Our Approach for Informational Search 22
4.1 Prototype Implementation 22
4.2 Features of Our Prototype System 23
4.2.1 Visualization with Word Clouds 24
4.2.2 SERP of Multiple Auto-complete Keywords 24
4.2.3 Reusing the Browsing History 26
4.3 Evaluation Results 28
Chapter 5 Conclusions and Future Works 45
Bibliography 46
Appendix A SUMI Questionnaire (in English) 51
Appendix B SUMI Questionnaire (in Chinese) 55

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