Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets
Summary: Introduces quantitative, similarity-driven diversity of opinion as the missing dimension in crowdsourcing marketplace design. S-Model builds task-agnostic crowds and T-Model selects workers for a task, each with efficient budgeted optimization algorithms validated on synthetic and real data. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ting Wu (Hong Kong University of Science and Technology)
- 2. Lei Chen (Hong Kong University of Science and Technology)
- 3. Pan Hui Chen (Hong Kong University of Science and Technology)
- 4. Jason Zhang (Hong Kong University of Science and Technology)
- 5. Weikai Li (Hong Kong University of Science and Technology)
BibTeX Citation
@article{wu_vldb15,
title = {{Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets}},
author = {Wu, Ting and Chen, Lei and Chen, Pan Hui and Zhang, Jason and Li, Weikai},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {5},
pages = {485--496},
doi = {10.14778/2735479.2735484},
url = {https://doi.org/10.14778/2735479.2735484},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,831 | Holistic query Approximation via RL Modeling | 2025 | VLDB | 5.093636e-05 |
| 11,806 | CONCIERGE: Improving Constrained Search Results by Data Melioration | 2020 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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