Demo Data from EDBT 2026 / reviewers in the wild / expert
Hans C. Bjornsson
dblp:28/238
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Theory of computation · 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.
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design
incentive mechanism |
0.0 | 1 | 2004 | HYRIWYG: leveraging personalization to elicit honest recommendations · EC 2004 |
Algorithmic game theory and mechanism design
recommendation systems |
0.0 | 1 | 2004 | HYRIWYG: leveraging personalization to elicit honest recommendations · EC 2004 |
Algorithmic game theory and mechanism design › incentive mechanism
reputation systems |
0.0 | 1 | 2004 | HYRIWYG: leveraging personalization to elicit honest recommendations · EC 2004 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | HYRIWYG: leveraging personalization to elicit honest recommendationsabstractThis paper presents HYRIWYG (How You Rate Influences What You Get), a reputation system applicable to Internet Recommendation Systems (RS). The novelty lies in the incentive mechanism that encourages evaluators to volunteer their true opinion. Honesty is encouraged because rewards are indexed by the quality of the RS's suggestions. Ana Cristina Bicharra Garcia, Martin Ekstrom, Hans C. Bjornsson |
EC | 3 |