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

Neha Saraf

dblp:419/6145 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0000-4912-0300ORCID · reported

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

Databases, data management, data science and information retrieval · 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
Information retrieval · 100%

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

TopicWeightPapersLastEvidence papers
Information retrieval › document retrieval › domain-specific retrieval
job search		 1.012026
Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn · SIGIR 2026
Information retrieval › retrieval models
semantic representation		 1.012026
Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn · SIGIR 2026

Methods — techniques the papers use, named apart from their topics

representation learning · 1.0
YearPublicationVenuePosition
2026 Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn
Baofen Zheng, Jianqiang Shen, Benjamin Le, Wen Pu, Neha Saraf, Alice Leung, Qianqi Shen, Liangjie Hong, Jingwei Wu
 SIGIR9