Inhaltszusammenfassung

We introduce the problem of crowdsourcing Task Assignment and Sequencing (TAS), which adds the timeline perspective to expert crowdsourcing optimization. Subsequently we pro- pose TAS - ONLINE , an online algorithm that aims to complete as many tasks as possible within budget and required quality without future input information regarding job release dates or worker availabilities. Results, comparing TAS - ONLINE to four typical benchmarks, show that it can achieve more com- p...We introduce the problem of crowdsourcing Task Assignment and Sequencing (TAS), which adds the timeline perspective to expert crowdsourcing optimization. Subsequently we pro- pose TAS - ONLINE , an online algorithm that aims to complete as many tasks as possible within budget and required quality without future input information regarding job release dates or worker availabilities. Results, comparing TAS - ONLINE to four typical benchmarks, show that it can achieve more com- pleted jobs, lower flow times and higher job quality. This work has practical implications for improving the outcome of expert crowdsourcing with cost, quality and time constraints.» weiterlesen» einklappen

Autoren

Klassifikation

DFG Fachgebiet:
Informatik

DDC Sachgruppe:
Informatik