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