Crowdsky: Skyline computation with crowdsourcing

Jongwuk Lee, Dongwon Lee, Sang Wook Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations


In this paper, we propose a crowdsourcing-based approach to solving skyline queries with incomplete data. Our main idea is to leverage crowds to infer the pair-wise preferences between tuples when the values of tuples in some attributes are unknown. Specifically, our proposed solution considers three key factors used in existing crowd-enabled algorithms: (1) minimizing a monetary cost in identifying a crowdsourced skyline by using a dominating set, (2) reducing the number of rounds for latency by parallelizing the questions asked to crowds, and (3) improving the accuracy of a crowdsourced skyline by dynamically assigning the number of crowd workers per question. We evaluate our solution over both simulated and real crowdsourcing using the Amazon Mechanical Turk. Compared to a sort-based baseline method, our solution significantly minimizes the monetary cost, and reduces the number of rounds up to two orders of magnitude. In addition, our dynamic majority voting method shows higher accuracy than both static majority voting method and the existing solution using unary questions.

Original languageEnglish (US)
Title of host publicationAdvances in Database Technology - EDBT 2016
Subtitle of host publication19th International Conference on Extending Database Technology, Proceedings
EditorsIoana Manolescu, Evaggelia Pitoura, Amelie Marian, Sofian Maabout, Letizia Tanca, Georgia Koutrika, Kostas Stefanidis
Number of pages12
ISBN (Electronic)9783893180707
StatePublished - 2016
Event19th International Conference on Extending Database Technology, EDBT 2016 - Bordeaux, France
Duration: Mar 15 2016Mar 18 2016

Publication series

NameAdvances in Database Technology - EDBT
ISSN (Electronic)2367-2005


Other19th International Conference on Extending Database Technology, EDBT 2016

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Software
  • Computer Science Applications


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