Towards task recommendation in micro-task markets

Vamshi Ambati, Stephan Vogel, Jaime Carbonell

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

37 Citations (Scopus)

Abstract

As researchers embrace micro-task markets for eliciting human input, the nature of the posted tasks moves from those requiring simple mechanical labor to requiring specific cognitive skills. On the other hand, increase is seen in the number of such tasks and the user population in micro-task market places requiring better search interfaces for productive user participation. In this paper we posit that understanding user skill sets and presenting them with suitable tasks not only maximizes the over quality of the output, but also attempts to maximize the benefit to the user in terms of more successfully completed tasks. We also implement a recommendation engine for suggesting tasks to users based on implicit modeling of skills and interests. We present results from a preliminary evaluation of our system using publicly available data gathered from a variety of human computation experiments recently conducted on Amazon's Mechanical Turk.

Original languageEnglish
Title of host publicationHuman Computation - Papers from the 2011 AAAI Workshop, Technical Report
Pages80-83
Number of pages4
Publication statusPublished - 2 Nov 2011
Event2011 AAAI Workshop - San Francisco, CA, United States
Duration: 8 Aug 20118 Aug 2011

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-11-11

Other

Other2011 AAAI Workshop
CountryUnited States
CitySan Francisco, CA
Period8/8/118/8/11

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ambati, V., Vogel, S., & Carbonell, J. (2011). Towards task recommendation in micro-task markets. In Human Computation - Papers from the 2011 AAAI Workshop, Technical Report (pp. 80-83). (AAAI Workshop - Technical Report; Vol. WS-11-11).