Analyzing users’ search patterns to explore topic knowledge from aggregated search results

Yen Chun Huang, Yu Ping Ho, I. Chin Wu

研究成果: 書貢獻/報告類型會議貢獻

摘要

Combining and assembling different search results to achieve a clearer focus and better organization is a challenging research issue of aggregated search. The goal of this research is to assemble useful and relevant in-formation from one or multiple sources and then present it via one interface, rather than as a ranked list. That is, we propose a framework and then develop the WikiMapp application based on the three main components of an aggregated search framework. In this research, we adopt the concept and principle of the program theory evaluation (PTE) and extended evaluation measure (EEM) to refine our application and use zero-order state transition (ZOST), and multiple lengths of maximal repeat patterns (m_MRPs) (i.e., a re-fined MRPs method) to observe and analyze users’ search move behaviors with the interface, as well as the relationship between those moves and task accomplishment. In this way, we aim to identify the best sequences of search move patterns that lead to successful searches. Our preliminary evaluation results show that WikiMapp actually helps users achieve better task performance by using the topic map tool in the interface.

原文英語
主出版物標題HCI International 2017 - Posters Extended Abstracts - 19th International Conference, HCI International 2017, Proceedings
編輯Constantine Stephanidis
發行者Springer Verlag
頁面443-449
頁數7
ISBN(列印)9783319587493
DOIs
出版狀態已發佈 - 2017 一月 1
事件19th International Conference on Human-Computer Interaction, HCI International 2017 - Vancouver, 加拿大
持續時間: 2017 七月 92017 七月 14

出版系列

名字Communications in Computer and Information Science
713
ISSN(列印)1865-0929

會議

會議19th International Conference on Human-Computer Interaction, HCI International 2017
國家加拿大
城市Vancouver
期間17/7/917/7/14

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • 引用此

    Huang, Y. C., Ho, Y. P., & Wu, I. C. (2017). Analyzing users’ search patterns to explore topic knowledge from aggregated search results. 於 C. Stephanidis (編輯), HCI International 2017 - Posters Extended Abstracts - 19th International Conference, HCI International 2017, Proceedings (頁 443-449). (Communications in Computer and Information Science; 卷 713). Springer Verlag. https://doi.org/10.1007/978-3-319-58750-9_61