Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sven Meyer zu Eissen
dblp:24/6872 · also Sven Meyer zu Eißen
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 1 first-authorArtificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
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 · 70% Indexing and storage engines · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Indexing and storage engines › vector index
fingerprint index |
0.1 | 1 | 2007 | Strategies for retrieving plagiarized documents · SIGIR 2007 |
Information retrieval
indexing |
0.1 | 1 | 2007 | Strategies for retrieving plagiarized documents · SIGIR 2007 |
Information retrieval › document processing › document analysis › text reuse detection
plagiarism detection |
0.1 | 1 | 2007 | Strategies for retrieving plagiarized documents · SIGIR 2007 |
Information retrieval
similarity search |
0.0 | 1 | 2007 | Strategies for retrieving plagiarized documents · SIGIR 2007 |
Methods — techniques the papers use, named apart from their topics
stochastic sampling · 0.1n-gram indexing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Strategies for retrieving plagiarized documentsabstractFor the identification of plagiarized passages in large document collections we present retrieval strategies which rely on stochastic sampling and chunk indexes. Using the entire Wikipedia corpus we compile n-gram indexes and compare them to a new kind of fingerprint index in a plagiarism analysis use case. Our index provides an analysis speed-up by factor 1.5 and is an order of magnitude smaller, while being equivalent in terms of precision and recall. Benno Stein 0001, Sven Meyer zu Eissen, Martin Potthast |
SIGIR | 2 |
| 2006 | Is Web Genre Identification Feasible?
Benno Stein 0001, Sven Meyer zu Eissen |
ECAI | 2 |
| 2006 | Intrinsic Plagiarism Detection
Sven Meyer zu Eissen, Benno Stein 0001 |
ECIR | 1 |