A social mechanism for task-oriented crowdsourcing recommendations

作者:

Highlights:

• Crowdsourcing uses the wisdom of the crowd to solve certain problems that require a lot of human resources.

• We propose a task-oriented of social crowdsourcing recommendation mechanism to help requesters find suitable contributors.

• Task-oriented crowdsourcing recommendations are derived based on contributor preferences, historical, and social influence.

• The proposed mechanism help establish long-term partnerships and bring value to task-oriented crowdsourcing participants.

摘要

Crowdsourcing is a new trend that uses the wisdom of crowds on the Internet to solve certain problems that need vast amounts of human resources. There have been a number of crowdsourcing platforms developed for various domains. However, the landscape of crowdsourcing platforms is widely dispersed and most tasks remain hidden. Finding out the tasks closely matching contributors' personal preference and capabilities is difficult. In this research, we aim to design a social mechanism for task-oriented crowdsourcing recommendations, which the requesters can easily use to find suitable contributors who are also very willing to finish their tasks. Our experimental results show that the proposed mechanism is effective in identifying appropriate contributors with respect to different types of task. The proposed mechanism can help to establish a long-term partnership that brings value to the participants of task-oriented crowdsourcing.

论文关键词:Task-oriented,Crowdsourcing,Contributor preference,Social relationship,Social recommendation

论文评审过程:Received 18 May 2020, Revised 13 October 2020, Accepted 11 November 2020, Available online 17 November 2020, Version of Record 8 January 2021.

论文官网地址:https://doi.org/10.1016/j.dss.2020.113449