Abstract
Opportunities for Web exploration have been remarkably increased. In particular, complicated Web search with a stack of search and acquisitions of Web pages is significant in long-Term intellectual activity. In such exploration, it is important to identify the noteworthy pages and their relationships in increasing bookmark in accordance with change of search intentions. However, it is difficult to grasp them since bookmarks tends to increase according to various search intentions and their changes. In this research, we develop a method for extracting the relationships between Web page by several different related elements from bookmarks. We also develop a method for extracting the gaze network based on centrality analysis. This paper mainly describes the framework of our proposed methods.
| Original language | English |
|---|---|
| Title of host publication | 2016 11th International Conference for Internet Technology and Secured Transactions, ICITST 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 472-473 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781908320735 |
| DOIs | |
| Publication status | Published - 2017 Feb 14 |
| Externally published | Yes |
| Event | 11th International Conference for Internet Technology and Secured Transactions, ICITST 2016 - Barcelona, Spain Duration: 2016 Dec 5 → 2016 Dec 7 |
Other
| Other | 11th International Conference for Internet Technology and Secured Transactions, ICITST 2016 |
|---|---|
| Country | Spain |
| City | Barcelona |
| Period | 16/12/5 → 16/12/7 |
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Keywords
- Centrality Analysis
- Information Visualization
- Noteworthy Page Network
- Search History Data
- Search Intentions
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications
- Safety, Risk, Reliability and Quality
- Hardware and Architecture
Cite this
Gaze network extraction from bookmarks in accordance with search intentions. / Amano, Takashi; Onuma, Ryo; Nakayama, Hiroki; Kaminaga, Hiroaki; Miyadera, Youzou; Nakamura, Shoichi.
2016 11th International Conference for Internet Technology and Secured Transactions, ICITST 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 472-473 7856756.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Gaze network extraction from bookmarks in accordance with search intentions
AU - Amano, Takashi
AU - Onuma, Ryo
AU - Nakayama, Hiroki
AU - Kaminaga, Hiroaki
AU - Miyadera, Youzou
AU - Nakamura, Shoichi
PY - 2017/2/14
Y1 - 2017/2/14
N2 - Opportunities for Web exploration have been remarkably increased. In particular, complicated Web search with a stack of search and acquisitions of Web pages is significant in long-Term intellectual activity. In such exploration, it is important to identify the noteworthy pages and their relationships in increasing bookmark in accordance with change of search intentions. However, it is difficult to grasp them since bookmarks tends to increase according to various search intentions and their changes. In this research, we develop a method for extracting the relationships between Web page by several different related elements from bookmarks. We also develop a method for extracting the gaze network based on centrality analysis. This paper mainly describes the framework of our proposed methods.
AB - Opportunities for Web exploration have been remarkably increased. In particular, complicated Web search with a stack of search and acquisitions of Web pages is significant in long-Term intellectual activity. In such exploration, it is important to identify the noteworthy pages and their relationships in increasing bookmark in accordance with change of search intentions. However, it is difficult to grasp them since bookmarks tends to increase according to various search intentions and their changes. In this research, we develop a method for extracting the relationships between Web page by several different related elements from bookmarks. We also develop a method for extracting the gaze network based on centrality analysis. This paper mainly describes the framework of our proposed methods.
KW - Centrality Analysis
KW - Information Visualization
KW - Noteworthy Page Network
KW - Search History Data
KW - Search Intentions
UR - http://www.scopus.com/inward/record.url?scp=85016060574&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85016060574&partnerID=8YFLogxK
U2 - 10.1109/ICITST.2016.7856756
DO - 10.1109/ICITST.2016.7856756
M3 - Conference contribution
AN - SCOPUS:85016060574
SP - 472
EP - 473
BT - 2016 11th International Conference for Internet Technology and Secured Transactions, ICITST 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -