DeepAI AI Chat
Log In Sign Up

From Zero to The Hero: A Collaborative Market Aware Recommendation System for Crowd Workers

by   Hamid Shamszare, et al.
Stevens Institute of Technology

The success of software crowdsourcing depends on active and trustworthy pool of worker supply. The uncertainty of crowd workers' behaviors makes it challenging to predict workers' success and plan accordingly. In a competitive crowdsourcing marketplace, competition for success over shared tasks adds another layer of uncertainty in crowd workers' decision-making process. Preliminary analysis on software worker behaviors reveals an alarming task dropping rate of 82.9 recommendation system for CSD workers to improve the visibility and predictability of their success in the competition. To that end, this paper proposes a collaborative recommendation system for crowd workers. The proposed recommendation system method uses five input metrics based on workers' collaboration history in the pool, workers' preferences in taking tasks in terms of monetary prize and duration, workers' specialty, and workers' proficiency. The proposed method then recommends the most suitable tasks for a worker to compete on based on workers' probability of success in the task. Experimental results on 260 active crowd workers demonstrate that just following the top three success probabilities of task recommendations, workers can achieve success up to 86


page 1

page 2

page 3

page 4


Who wants to cooperate-and why? Attitude and perception of crowd workers in online labor markets

Existing literature and studies predominantly focus on how crowdsource w...

On the Design of Strategic Task Recommendations for Sustainable Crowdsourcing-Based Content Moderation

Crowdsourcing-based content moderation is a platform that hosts content ...

Is This the Right Time to Post My Task? An Empirical Analysis on a Task Similarity Arrival in TopCoder

Existed studies have shown that crowd workers are more interested in tak...

Selecting the top-quality item through crowd scoring

We investigate crowdsourcing algorithms for finding the top-quality item...

A Hybrid Simulation Model for Open Software Development Processes

Open software development provides software organizations access to infi...

Study on Patterns and Effect of Task Diversity in Software Crowdsourcing

Context: The success of software crowdsourcing depends on steady tasks s...

An Evolutionary Algorithm for Task Scheduling in Crowdsourced Software Development

The complexity of software tasks and the uncertainty of crowd developer ...