Database Paper Browser

Back to papers

DOCS: Domain-Aware Crowdsourcing System

Summary: Domain-aware crowdsourcing system for data management; models worker quality by domain using KBs (Wikipedia/Freebase). Domain Vector Estimation, domain-sensitive truth inference, and online task assignment; DOCS deployed on MTurk with strong gains over baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11534
Venue
VLDB
Year
2017
Pagerank
4.1905499e-05
Overall Rank
11,824 | 17.83%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
5,254 CDB: A Crowd-Powered Database System 2018 VLDB 5.5991922e-05
5,744 Efficient Algorithms for Crowd-Aided Categorization 2020 VLDB 5.343155e-05
7,116 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 4.8219732e-05
7,580 Human-in-the-loop Outlier Detection 2020 SIGMOD 4.7023767e-05
11,713 A Rating-Ranking Method for Crowdsourced Top-k Computation 2018 SIGMOD 4.1905499e-05
11,796 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 4.1905499e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers