Demo Data from SIGIR 2026 / reviewers in the wild / expert
Tal Zur
dblp:72/4737
· DBLP profile ↗
1ranked-venue papers
0as 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 · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
publish/subscribe systems |
0.1 | 1 | 2007 | Boosting topic-based publish-subscribe systems with dynamic clustering · SIGMOD Conference 2007 |
Distributed systems › publish/subscribe systems
topic-based publish/subscribe |
0.1 | 1 | 2007 | Boosting topic-based publish-subscribe systems with dynamic clustering · SIGMOD Conference 2007 |
Methods — techniques the papers use, named apart from their topics
clustering · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Boosting topic-based publish-subscribe systems with dynamic clusteringabstractWe consider in this paper a class of Publish-Subscribe (pub-sub) systems called topic-based systems, where users subscribe to topics and are notified on events that belong to those subscribed topics. With the recent flourishing of RSS news syndication, these systems are regaining popularity and are raising new challenging problems. Tova Milo, Tal Zur, Elad Verbin |
SIGMOD Conference | 2 |