Demo Data from SIGIR 2026 / reviewers in the wild / expert
Amy Kaplan
dblp:36/3539
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1990
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 networks
1 paper |
Content delivery and video streaming · 77% Internet architecture and protocols · 23% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › personalized search
user interest profile |
0.0 | 1 | 1990 | Service Architecture, Prototype Description, and Network Implication of a Personalized Information Grazing Service · INFOCOM 1990 |
Internet architecture and protocols
broadband network |
0.0 | 1 | 1990 | Service Architecture, Prototype Description, and Network Implication of a Personalized Information Grazing Service · INFOCOM 1990 |
Methods — techniques the papers use, named apart from their topics
implicit feedback · 0.0explicit feedback · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Service Architecture, Prototype Description, and Network Implication of a Personalized Information Grazing ServiceabstractA passive information grazing system (PIGS) is presented which is a prototype information delivery and filtering system for casual users. In PIGS, information articles in multimedia form are electronically transmitted to users over a prototype broadband network. To assist users in managing the potential flood of articles, PIGS selects information for individual users based on their personalized interest profiles. As users' interests change over time, their profiles could be automatically adapted using implicit and explicit feedback about each article. An examination is made of PIGS, with particular emphasis on transmission and call processing capacity requirements.> Howard E. Bussey, Carmen Egido, Amy Kaplan, Steven L. Rohall, Rosanna Yuan |
INFOCOM | 3 |