Demo Data from SIGIR 2026 / reviewers in the wild / expert
David Pollington
dblp:23/8574
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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.
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 77% Collaborative and social computing · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Ubiquitous computing and smart environments › context-aware computing
context sensing |
0.1 | 1 | 2010 | The calendar as a sensor: analysis and improvement using data fusion with social networks and location · UbiComp 2010 |
Collaborative and social computing
social networks |
0.0 | 1 | 2010 | The calendar as a sensor: analysis and improvement using data fusion with social networks and location · UbiComp 2010 |
Methods — techniques the papers use, named apart from their topics
data fusion · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | The calendar as a sensor: analysis and improvement using data fusion with social networks and locationabstractThe shared online calendar is the de facto standard for event organisation and management in the modern office environment. It is also a potentially valuable source of context, provided the calendar event data represent an accurate account of 'real-world' events. However, as we show through a field study, the calendar does not represent reality well as genuine events are hidden by a multitude of reminders and 'placeholders', i.e. events that appear in the calendar but do not occur. We show that the calendar's representation of real events can be significantly improved through data fusion with other sources of context, namely social network and location data. Finally, we discuss some of the issues raised during our field study, their significance and how performance could be farther improved. Tom Lovett, Eamonn O'Neill, James Irwin, David Pollington |
UbiComp | 4 |