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From Zero to The Hero: A Collaborative Market Aware Recommendation System for Crowd Workers
The proposed method then recommends the most suitable tasks for a worker to compete on based on workers' probability of success in the task.
An Evolutionary Algorithm for Task Scheduling in Crowdsourced Software Development
In a competitive crowdsourcing marketplace, competition for shared worker resources from multiple simultaneously open tasks adds another layer of uncertainty to the potential outcomes of software crowdsourcing.
Study on Patterns and Effect of Task Diversity in Software Crowdsourcing
Goal: The objective of this study is to empirically investigate patterns and effect of task diversity in software crowdsourcing platform in order to improve the success and efficiency of software crowdsourcing.
How Much Should I Pay? An Empirical Analysis on Monetary Prize in TopCoder
It is reported that task monetary prize is one of the most important motivating factors to attract crowd workers.
Software Engineering Human-Computer Interaction Social and Information Networks
Is This the Right Time to Post My Task? An Empirical Analysis on a Task Similarity Arrival in TopCoder
Our study supports that 1- A higher number of arrival tasks with similarity level greater than 70% will negatively impact on task competition level, 2- A bigger pool of similar open and arrival tasks would lead to lower worker attraction and elasticity, and 3- Workers who register for tasks with lower similarity level are more reliable to make a valid submission and 4- arriving task to the pool of 60% similar task will provide the highest chance of receiving a valid submission.
Software Engineering Human-Computer Interaction
