VLDB 2026 Research / reviewers in the wild / expert
Michael M. Müller
dblp:378/5905
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0005-0918-8833ORCID · 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 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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Recommender systems › explainable recommendation
counterfactual explanation |
1.0 | 1 | 2026 | Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation · SIGIR 2026 |
Recommender systems
explainable recommendation |
1.0 | 1 | 2026 | Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation · SIGIR 2026 |
Methods — techniques the papers use, named apart from their topics
denoising diffusion · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation
Amir Reza Mohammadi, Andreas Peintner, Michael M. Müller, Eva Zangerle |
SIGIR | 3 |