Extracting the springboard for reflecting user's recognition on the obtained pages to further search

Yota Kawawa, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

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

Abstract

Web searches are becoming ever more important as searches diversify. During Web searches, the users need to classify and utilize acquired Web pages well. However, such tasks are often difficult. Moreover, the searcher’s evaluation of obtained pages gradually changes. This research focuses on Springboard to realistically express user’s intentions. Based on this, we aimed at developing a support system for extracting the promising pages for each type of springboard. In this paper, we discuss the framework of the support system along with the outline of Springboard.

Original languageEnglish
Title of host publicationProceedings of the International Conferences on WWW/Internet 2018 and Applied Computing 2018
EditorsHans Weghorn, Pedro Isaias, Luis Rodrigues
PublisherIADIS Press
Pages427-429
Number of pages3
ISBN (Electronic)9789898533821
Publication statusPublished - 2018 Jan 1
EventInternational Conferences on WWW/Internet, ICWI 2018 and Applied Computing 2018 - Budapest, Hungary
Duration: 2018 Oct 212018 Oct 23

Other

OtherInternational Conferences on WWW/Internet, ICWI 2018 and Applied Computing 2018
CountryHungary
CityBudapest
Period18/10/2118/10/23

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Keywords

  • Extraction of Promising Page
  • Page Classification
  • Search Intention
  • Springboard

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Kawawa, Y., Nakayama, H., Onuma, R., Kaminaga, H., Miyadera, Y., & Nakamura, S. (2018). Extracting the springboard for reflecting user's recognition on the obtained pages to further search. In H. Weghorn, P. Isaias, & L. Rodrigues (Eds.), Proceedings of the International Conferences on WWW/Internet 2018 and Applied Computing 2018 (pp. 427-429). IADIS Press.