Suggestion of Circumstances in Exploration and Properties of Unknown Pages Aimed at Enhancing the Meaningful Trial and Error

Ryo Onuma, Takashi Amano, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

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

Abstract

In complex Web search conducted in parallel with long-term intellectual activities, it is important to accumulate results after understanding the results and circumstances of the search. However, searches accumulate a large number of diverse webpages as work progresses. Moreover, it is difficult to keep the results and circumstances of the search as time passes. Therefore, it is difficult to accurately grasp the current search situation. Furthermore, it is difficult to reflect the search policy based on the current search situation in the next search. In this research, we were aiming at developing support methods for promoting consideration of such search policy. First, we analyzed existing pages and extracted relationships that exist between useful pages. Then, we classified each acquisition pages according to the contents from the relationship between the acquisition pages, and support for organizing and understanding of the user's acquisition page. Furthermore, we developed a method of suggesting the "properties" of unknown pages as a clue for examining a new page. As a result, it possible to promote the consideration of the search policy based on the user's browsing history and their current search situation.

Original languageEnglish
Title of host publication2018 IEEE Conference on Big Data and Analytics, ICBDA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages56-61
Number of pages6
ISBN (Electronic)9781538671283
DOIs
Publication statusPublished - 2019 Jan 29
Event2018 IEEE Conference on Big Data and Analytics, ICBDA 2018 - Langkawi, Kedah, Malaysia
Duration: 2018 Nov 212018 Nov 22

Publication series

Name2018 IEEE Conference on Big Data and Analytics, ICBDA 2018

Conference

Conference2018 IEEE Conference on Big Data and Analytics, ICBDA 2018
CountryMalaysia
CityLangkawi, Kedah
Period18/11/2118/11/22

Fingerprint

Web search
Organizing

Keywords

  • Information Visualization
  • Network Analysis
  • Search History Data
  • Search Intentions

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems and Management

Cite this

Onuma, R., Amano, T., Nakayama, H., Kaminaga, H., Miyadera, Y., & Nakamura, S. (2019). Suggestion of Circumstances in Exploration and Properties of Unknown Pages Aimed at Enhancing the Meaningful Trial and Error. In 2018 IEEE Conference on Big Data and Analytics, ICBDA 2018 (pp. 56-61). [8629706] (2018 IEEE Conference on Big Data and Analytics, ICBDA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBDAA.2018.8629706

Suggestion of Circumstances in Exploration and Properties of Unknown Pages Aimed at Enhancing the Meaningful Trial and Error. / Onuma, Ryo; Amano, Takashi; Nakayama, Hiroki; Kaminaga, Hiroaki; Miyadera, Youzou; Nakamura, Shoichi.

2018 IEEE Conference on Big Data and Analytics, ICBDA 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 56-61 8629706 (2018 IEEE Conference on Big Data and Analytics, ICBDA 2018).

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

Onuma, R, Amano, T, Nakayama, H, Kaminaga, H, Miyadera, Y & Nakamura, S 2019, Suggestion of Circumstances in Exploration and Properties of Unknown Pages Aimed at Enhancing the Meaningful Trial and Error. in 2018 IEEE Conference on Big Data and Analytics, ICBDA 2018., 8629706, 2018 IEEE Conference on Big Data and Analytics, ICBDA 2018, Institute of Electrical and Electronics Engineers Inc., pp. 56-61, 2018 IEEE Conference on Big Data and Analytics, ICBDA 2018, Langkawi, Kedah, Malaysia, 18/11/21. https://doi.org/10.1109/ICBDAA.2018.8629706
Onuma R, Amano T, Nakayama H, Kaminaga H, Miyadera Y, Nakamura S. Suggestion of Circumstances in Exploration and Properties of Unknown Pages Aimed at Enhancing the Meaningful Trial and Error. In 2018 IEEE Conference on Big Data and Analytics, ICBDA 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 56-61. 8629706. (2018 IEEE Conference on Big Data and Analytics, ICBDA 2018). https://doi.org/10.1109/ICBDAA.2018.8629706
Onuma, Ryo ; Amano, Takashi ; Nakayama, Hiroki ; Kaminaga, Hiroaki ; Miyadera, Youzou ; Nakamura, Shoichi. / Suggestion of Circumstances in Exploration and Properties of Unknown Pages Aimed at Enhancing the Meaningful Trial and Error. 2018 IEEE Conference on Big Data and Analytics, ICBDA 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 56-61 (2018 IEEE Conference on Big Data and Analytics, ICBDA 2018).
@inproceedings{6c54d27ca9c044b4a0bd6f6527213b2a,
title = "Suggestion of Circumstances in Exploration and Properties of Unknown Pages Aimed at Enhancing the Meaningful Trial and Error",
abstract = "In complex Web search conducted in parallel with long-term intellectual activities, it is important to accumulate results after understanding the results and circumstances of the search. However, searches accumulate a large number of diverse webpages as work progresses. Moreover, it is difficult to keep the results and circumstances of the search as time passes. Therefore, it is difficult to accurately grasp the current search situation. Furthermore, it is difficult to reflect the search policy based on the current search situation in the next search. In this research, we were aiming at developing support methods for promoting consideration of such search policy. First, we analyzed existing pages and extracted relationships that exist between useful pages. Then, we classified each acquisition pages according to the contents from the relationship between the acquisition pages, and support for organizing and understanding of the user's acquisition page. Furthermore, we developed a method of suggesting the {"}properties{"} of unknown pages as a clue for examining a new page. As a result, it possible to promote the consideration of the search policy based on the user's browsing history and their current search situation.",
keywords = "Information Visualization, Network Analysis, Search History Data, Search Intentions",
author = "Ryo Onuma and Takashi Amano and Hiroki Nakayama and Hiroaki Kaminaga and Youzou Miyadera and Shoichi Nakamura",
year = "2019",
month = "1",
day = "29",
doi = "10.1109/ICBDAA.2018.8629706",
language = "English",
series = "2018 IEEE Conference on Big Data and Analytics, ICBDA 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "56--61",
booktitle = "2018 IEEE Conference on Big Data and Analytics, ICBDA 2018",

}

TY - GEN

T1 - Suggestion of Circumstances in Exploration and Properties of Unknown Pages Aimed at Enhancing the Meaningful Trial and Error

AU - Onuma, Ryo

AU - Amano, Takashi

AU - Nakayama, Hiroki

AU - Kaminaga, Hiroaki

AU - Miyadera, Youzou

AU - Nakamura, Shoichi

PY - 2019/1/29

Y1 - 2019/1/29

N2 - In complex Web search conducted in parallel with long-term intellectual activities, it is important to accumulate results after understanding the results and circumstances of the search. However, searches accumulate a large number of diverse webpages as work progresses. Moreover, it is difficult to keep the results and circumstances of the search as time passes. Therefore, it is difficult to accurately grasp the current search situation. Furthermore, it is difficult to reflect the search policy based on the current search situation in the next search. In this research, we were aiming at developing support methods for promoting consideration of such search policy. First, we analyzed existing pages and extracted relationships that exist between useful pages. Then, we classified each acquisition pages according to the contents from the relationship between the acquisition pages, and support for organizing and understanding of the user's acquisition page. Furthermore, we developed a method of suggesting the "properties" of unknown pages as a clue for examining a new page. As a result, it possible to promote the consideration of the search policy based on the user's browsing history and their current search situation.

AB - In complex Web search conducted in parallel with long-term intellectual activities, it is important to accumulate results after understanding the results and circumstances of the search. However, searches accumulate a large number of diverse webpages as work progresses. Moreover, it is difficult to keep the results and circumstances of the search as time passes. Therefore, it is difficult to accurately grasp the current search situation. Furthermore, it is difficult to reflect the search policy based on the current search situation in the next search. In this research, we were aiming at developing support methods for promoting consideration of such search policy. First, we analyzed existing pages and extracted relationships that exist between useful pages. Then, we classified each acquisition pages according to the contents from the relationship between the acquisition pages, and support for organizing and understanding of the user's acquisition page. Furthermore, we developed a method of suggesting the "properties" of unknown pages as a clue for examining a new page. As a result, it possible to promote the consideration of the search policy based on the user's browsing history and their current search situation.

KW - Information Visualization

KW - Network Analysis

KW - Search History Data

KW - Search Intentions

UR - http://www.scopus.com/inward/record.url?scp=85062787425&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062787425&partnerID=8YFLogxK

U2 - 10.1109/ICBDAA.2018.8629706

DO - 10.1109/ICBDAA.2018.8629706

M3 - Conference contribution

T3 - 2018 IEEE Conference on Big Data and Analytics, ICBDA 2018

SP - 56

EP - 61

BT - 2018 IEEE Conference on Big Data and Analytics, ICBDA 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -