Demo Data from EDBT 2026 / reviewers in the wild / expert
A. W. Rivadeneira
dblp:36/4328
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › interactive information retrieval
search and browsing |
0.1 | 1 | 2007 | Getting our head in the clouds: toward evaluation studies of tagclouds · CHI 2007 |
Visualization and visual analytics › text visualization
tag cloud |
0.1 | 1 | 2007 | Getting our head in the clouds: toward evaluation studies of tagclouds · CHI 2007 |
Collaborative and social computing › interpersonal communication
impression formation |
0.0 | 1 | 2007 | Getting our head in the clouds: toward evaluation studies of tagclouds · CHI 2007 |
Methods — techniques the papers use, named apart from their topics
user study · 0.2evaluation paradigm · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Getting our head in the clouds: toward evaluation studies of tagcloudsabstractTagclouds are visual presentations of a set of words, typically a set of "tags" selected by some rationale, in which attributes of the text such as size, weight, or color are used to represent features, such as frequency, of the associated terms. This note describes two studies to evaluate the effectiveness of differently constructed tagclouds for the various tasks they can be used to support, including searching, browsing, impression formation and recognition. Based on these studies, we propose a paradigm for evaluating tagclouds and ultimately guidelines for tagcloud construction. A. W. Rivadeneira, Dan Gruen, Michael J. Muller, David R. Millen |
CHI | 1 |