EDBT 2026 Demo / reviewers in the wild / expert
Sara Weber
dblp:76/11299
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Human-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% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › social media
enterprise social media |
0.1 | 1 | 2012 | Best faces forward: a large-scale study of people search in the enterprise · CHI 2012 |
Information retrieval › document retrieval › domain-specific retrieval
enterprise search |
0.0 | 1 | 2012 | Best faces forward: a large-scale study of people search in the enterprise · CHI 2012 |
Information retrieval
search engines |
0.0 | 1 | 2012 | Best faces forward: a large-scale study of people search in the enterprise · CHI 2012 |
Methods — techniques the papers use, named apart from their topics
query log analysis · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | A Study on Expert Sourcing Enterprise Question Collection and Classification
Thomas F. Boucher, Tolga Oral, David Osofsky, Sara Weber |
LREC | 5 |
| 2012 | Best faces forward: a large-scale study of people search in the enterpriseabstractThis paper presents Faces, an application built to enable effective people search in the enterprise. We take advantage of the popularity Faces has gained within a globally distributed enterprise to provide an extensive analysis of how and why people search is used within the organization. Our study is primarily based on an analysis of the Faces query log over a period of more than four months, with over a million queries and tens of thousands of users. The analysis results are presented across four dimensions: queries, users, clicks, and actions, and lay the foundation for further advancement and research on the topic. Ido Guy, Sigalit Ur, Inbal Ronen, Sara Weber, Tolga Oral |
CHI | 4 |