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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationHCI International 2017 - Posters Extended Abstracts - 19th International Conference, HCI International 2017, Proceedings
EditorsConstantine Stephanidis
PublisherSpringer Verlag
Pages443-449
Number of pages7
ISBN (Print)9783319587493
DOIs
Publication statusPublished - 2017 Jan 1
Event19th International Conference on Human-Computer Interaction, HCI International 2017 - Vancouver, Canada
Duration: 2017 Jul 92017 Jul 14

Publication series

NameCommunications in Computer and Information Science
Volume713
ISSN (Print)1865-0929

Conference

Conference19th International Conference on Human-Computer Interaction, HCI International 2017
CountryCanada
CityVancouver
Period17/7/917/7/14

Fingerprint

Pattern Search
Evaluation
Topic Maps
State Transition
Knowledge
Zero

Keywords

  • Aggregated search
  • Extended evaluation measures
  • Pattern analysis
  • Search moves

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Cite this

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

Analyzing users’ search patterns to explore topic knowledge from aggregated search results. / Huang, Yen Chun; Ho, Yu Ping; Wu, I. Chin.

HCI International 2017 - Posters Extended Abstracts - 19th International Conference, HCI International 2017, Proceedings. ed. / Constantine Stephanidis. Springer Verlag, 2017. p. 443-449 (Communications in Computer and Information Science; Vol. 713).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huang, YC, Ho, YP & Wu, IC 2017, Analyzing users’ search patterns to explore topic knowledge from aggregated search results. in C Stephanidis (ed.), HCI International 2017 - Posters Extended Abstracts - 19th International Conference, HCI International 2017, Proceedings. Communications in Computer and Information Science, vol. 713, Springer Verlag, pp. 443-449, 19th International Conference on Human-Computer Interaction, HCI International 2017, Vancouver, Canada, 17/7/9. https://doi.org/10.1007/978-3-319-58750-9_61
Huang YC, Ho YP, Wu IC. Analyzing users’ search patterns to explore topic knowledge from aggregated search results. In Stephanidis C, editor, HCI International 2017 - Posters Extended Abstracts - 19th International Conference, HCI International 2017, Proceedings. Springer Verlag. 2017. p. 443-449. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-58750-9_61
Huang, Yen Chun ; Ho, Yu Ping ; Wu, I. Chin. / Analyzing users’ search patterns to explore topic knowledge from aggregated search results. HCI International 2017 - Posters Extended Abstracts - 19th International Conference, HCI International 2017, Proceedings. editor / Constantine Stephanidis. Springer Verlag, 2017. pp. 443-449 (Communications in Computer and Information Science).
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