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Demo Data from EDBT 2026 / reviewers in the wild / expert

Moritz Laber

dblp:410/6818 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-0273-584XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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
Recommender systems · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Recommender systems › debiased recommendation
popularity bias mitigation		 1.012026
Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations · WWW 2026
Recommender systems
user modeling		 1.012026
Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations · WWW 2026
YearPublicationVenuePosition
2026 Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations
David Liu 0006, Erik Weis, Moritz Laber, Tina Eliassi-Rad, Brennan Klein
 WWW3