From Task Classification Towards Similarity Measures for Recommendation in Crowdsourcing Systems [article]

Steffen Schnitzer and Svenja Neitzel and Christoph Rensing
2017 arXiv   pre-print
Task selection in micro-task markets can be supported by recommender systems to help individuals to find appropriate tasks. Previous work showed that for the selection process of a micro-task the semantic aspects, such as the required action and the comprehensibility, are rated more important than factual aspects, such as the payment or the required completion time. This work gives a foundation to create such similarity measures. Therefore, we show that an automatic classification based on task
more » ... descriptions is possible. Additionally, we propose similarity measures to cluster micro-tasks according to semantic aspects.
arXiv:1707.06562v1 fatcat:hiil475r3zhwjbnwgccwosi6ia