Name
Abstract | ||
|---|---|---|
This paper describes a method for extracting the search contexts on the basis of the analysis of search history data such as viewed Web pages, search queries, and bookmarks during collaborative exploration activities. There are many opportunities for collaborative exploration in the form of cooperative work at educational organizations such as universities. It is quite significant for collaborative explorers to mutually grasp search contexts in order to successfully progress the exploration. However, it becomes increasingly difficult and complicated for explorers to comprehend contexts as search histories when search periods lengthen. The goal of this research is to achieve novel support for extracting the search contexts and their visualizations so that novices in collaborative exploration can understand their exploration activities. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/DSDIS.2015.112 | DSDIS |
Keywords | Field | DocType |
Collaborative Exploration, Search Context, Training of Consideration Capability, Search History Data, Web Visualization | Data science,World Wide Web,GRASP,Web page,Computer science,Cooperative work,Feature extraction,Web visualization,Search history | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroki Nakayama | 1 | 7 | 6.82 |
| Ryo Onuma | 2 | 0 | 1.69 |
| Hiroaki Kaminaga | 3 | 0 | 4.39 |
| Youzou Miyadera | 4 | 29 | 19.44 |
| Shoichi Nakamura | 5 | 7 | 7.45 |