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論文名稱(外文):Supporting Informational Search with Click Tracking and Data Visualization Techniques
指導教授(外文):Wei-Guang Teng
外文關鍵詞:Informational searchClick trackingData visualization
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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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