Demo Data from EDBT 2026 / reviewers in the wild / expert
Tom Moran
dblp:78/341
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—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 |
Collaborative and social computing · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › computer-supported cooperative work › organizational collaboration
enterprise collaboration |
0.1 | 1 | 2011 | Topika: integrating collaborative sharing with email · CHI 2011 |
Methods — techniques the papers use, named apart from their topics
suggestion algorithm · 0.1evaluation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Topika: integrating collaborative sharing with emailabstractNew enterprise tools (wikis, team spaces, social tags) offer potential benefits for enterprise collaboration, providing shared resources to organize work. However, a vast amount of collaboration still takes place by email. But email is problematic for collaboration because information may be distributed across multiple messages in an overloaded inbox. Email also increases workload as each individual has to manage their own versions of collaborative materials. We present a novel system, Topika that integrates email with collaboration tools. It allows users to continue to use email while also enjoying the benefits of these dedicated tools. When a user composes an email Topika analyzes the message and suggests relevant shared spaces (e.g., wiki pages) within the user's collaboration tools. This allows her to post the email to those spaces. An evaluation of Topika's suggestion algorithm shows that it performs well at accurately suggesting shared spaces. Jalal Mahmud, Tara Matthews, Steve Whittaker 0001, Tom Moran, Tessa A. Lau |
CHI | 4 |