DBScholar

Back to papers

A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing

Summary: Interactive toolkit for crowdsourced top-k queries, centered on the confidence-aware SPR algorithm. Visualizes progress and phase-level monetary costs, enabling users to trade off budget against ranking quality. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11671
Venue
VLDB
Year
2017
Pagerank
5.093636e-05
Overall Rank
12,013 | 17.58%
DOI
10.14778/3137765.3137806

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@article{li_vldb17,
        title = {{A Confidence-Aware Top-k Query Processing Toolkit on Crowdsourcing}},
        author = {Li, Yan and Kou, Ngai Meng and Wang, Hao and U, Leong Hou and Gong, Zhiguo},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {12},
        pages = {1909--1912},
        doi = {10.14778/3137765.3137806},
        url = {https://doi.org/10.14778/3137765.3137806},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 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