Demo Data from VLDB 2026 / reviewers in the wild / expert
Samaneh Ebrahimi 0001
dblp:185/0745-1
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · unresolved
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 · 1 since 2021Artificial intelligence and machine learning · 1 · 1 first-author
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.
| Computer graphics and multimedia
1 paper |
Multimedia systems and quality of experience · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › ranking
content ranking |
0.1 | 1 | 2018 | Predicting Audio Advertisement Quality · WSDM 2018 |
Methods — techniques the papers use, named apart from their topics
machine learning · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Sequence graph transform (SGT): a feature embedding function for sequence data mining
Chitta Ranjan, Samaneh Ebrahimi 0001, Kamran Paynabar |
Data Min. Knowl. Discov. | 2 |
| 2018 | Predicting Audio Advertisement QualityabstractOnline audio advertising is a particular form of advertising used abundantly in online music streaming services. In these platforms, which tend to host tens of thousands of unique audio advertisements (ads), providing high quality ads ensures a better user experience and results in longer user engagement. Therefore, the automatic assessment of these ads is an important step toward audio ads ranking and better audio ads creation. Samaneh Ebrahimi 0001, Puya Vahabi, Matthew Prockup, Oriol Nieto |
WSDM | 1 |