Demo Data from EDBT 2026 / reviewers in the wild / expert
Sri Sri Perangur
dblp:314/0043
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 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 |
Data mining · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining › causal inference
online controlled experiments |
0.6 | 1 | 2022 | Experiments with Predictive Long Term Guardrail Metrics · WSDM 2022 |
Methods — techniques the papers use, named apart from their topics
forecasting · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Experiments with Predictive Long Term Guardrail MetricsabstractProduct experiments today need a long term view of impact to make shipping decisions truly effective. Here we will discuss the challenges in the traditional metrics used in experiment analysis and how long term forecast metrics enable better decisions. Sri Sri Perangur |
WSDM | 1 |