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)

Paper ID: h0d922499b99f0540
Venue: VLDB
Year: 2015
Pagerank: 5.5407456e-05
Overall Rank: 7,371 | 50.45%
DOI: 10.14778/2735479.2735484

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
11,239	Holistic query Approximation via RL Modeling	2025	VLDB	4.9793485e-05
12,108	CONCIERGE: Improving Constrained Search Results by Data Melioration	2020	VLDB	4.9793485e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
198	CrowdER: Crowdsourcing Entity Resolution	2012	VLDB	0.00025555196
259	Answering Queries using Humans, Algorithms and Databases	2011	CIDR	0.00022923243
266	Human-powered Sorts and Joins	2012	VLDB	0.00022739124
749	So Who Won? Dynamic Max Discovery with the Crowd	2012	SIGMOD	0.00014265279
787	Human-Assisted Graph Search: It’s Okay to Ask Questions	2011	VLDB	0.00013988274
871	Leveraging Transitive Relations for Crowdsourced Joins	2013	SIGMOD	0.00013343705
933	Question Selection for Crowd Entity Resolution	2013	VLDB	0.00013004422
987	CrowdScreen: Algorithms for Filtering Data with Humans	2012	SIGMOD	0.00012660627
1,851	CrowdDB: Query Processing with the VLDB Crowd	2011	VLDB	9.5037355e-05
2,832	Crowd Mining	2013	SIGMOD	7.9590386e-05
4,220	Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services	2012	VLDB	6.7252203e-05
4,602	Reducing Uncertainty of Schema Matching via Crowdsourcing	2013	VLDB	6.5072085e-05
7,089	Answering Planning Queries with the Crowd	2013	VLDB	5.6018191e-05
9,439	Who Tags What? An Analysis Framework	2012	VLDB	5.1772322e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	7,500	Crowdsourced Data Management: Overview and Challenges	2017	SIGMOD
2	3,171	Truth Inference in Crowdsourcing: Is the Problem Solved?	2017	VLDB
3	12,147	Recommending Deployment Strategies in Crowdsourcing Platforms	2019	SIGMOD
4	12,361	Collaborative Crowdsourcing with Crowd4U	2016	VLDB
5	8,951	Managing General and Individual Knowledge in Crowd Mining Applications	2015	CIDR
6	12,224	Crowdsourcing Analytics with CrowdCur	2018	SIGMOD
7	5,250	An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems	2013	SIGMOD
8	3,197	iCrowd: An Adaptive Crowdsourcing Framework	2015	SIGMOD
9	12,394	The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing	2015	SIGMOD
10	8,955	Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace	2017	VLDB