EDBT 2026 Demo / reviewers in the wild / expert
Stan Fris
dblp:417/3858
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0000-9300-5502ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 1 first-author · 2 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 |
Information retrieval · 87% Recommender systems · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › ranking
learning to rank |
1.0 | 1 | 2026 | Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank · SIGIR 2026 |
Information retrieval › ranking › learning to rank
unbiased learning to rank |
1.0 | 1 | 2026 | Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank · SIGIR 2026 |
Recommender systems › neural recommendation
two-tower model |
0.3 | 1 | 2026 | Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank · SIGIR 2026 |
Methods — techniques the papers use, named apart from their topics
identifiability analysis · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A Systematic Reproducibility Study of BSARec for Sequential Recommendation
Jan Hutter, Hua Chang Bakker, Stan Fris, Angela Madelon Bernardy, Yuanna Liu |
ECIR (3) | 3 |
| 2026 | Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank
Stan Fris, Philipp Hager 0001 |
SIGIR | 1 |