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Demo Data from EDBT 2026 / reviewers in the wild / expert

Maomao Ding

dblp:373/3712 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 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
Recommender systems · 77% Machine learning and data management · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Recommender systems › web personalization
real-time personalization		 0.812024
QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models · NSDI 2024
Machine learning and data management
inference serving		 0.212024
QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models · NSDI 2024
YearPublicationVenuePosition
2024 QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models
Kiran Kumar Matam, Hani Ramezani, Zeliang Chen, Maomao Ding, Ellie Wen, Assaf Eisenman
 NSDI6