Tag Archives: Task Recommendation

Personalized Task Recommendation in Crowdsourcing Information Systems


Crowdsourcing information systems aims at delivering informational products and services by harnessing a large group of online users. Individuals motivated intrinsically (e.g., enjoyment) or extrinsically (e.g., reward) can contribute to the system through picking among a variety of open tasks on crowdsourcing platforms. As the huge amount of tasks posted ever day, matching individual with an appropriate task that meet up individual’s personal preference and skill is crucial to the success.  However, in reality, the ever-increasing amount of opportunities engaging individuals on crowdsourcing platforms lead to an information overload situation. Therefore, how to assist contributors in finding a suitable task in line with self-identification principle has attracted scholars and practitioners’ attentions. Geiger and Schader (2014) review and analyze the current state of personalized task recommendation in crowdsourcing context which shed a light on designing the relevant mechanisms on crowdsourcing platforms.

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