Technologies for GQM-based metrics recommender systems: a systematic literature review
Purpose: With this Systematic Literature Review (SLR), we aim to discover technologies to
construct a Goal-Question-Metrics (GQM) based metrics recommender for software …
construct a Goal-Question-Metrics (GQM) based metrics recommender for software …
Context-aware personalized crowdtesting task recommendation
Crowdsourced software testing (short for crowdtesting) is a special type of crowdsourcing. It
requires that crowdworkers master appropriate skill-sets and commit significant effort for …
requires that crowdworkers master appropriate skill-sets and commit significant effort for …
群智协同任务分配研究综述.
陈宝童, 王丽清, 蒋晓敏… - Journal of Computer …, 2021 - search.ebscohost.com
任务分配是群智协同计算和众包中的核心问题之一, 即通过设计合理的任务分配策略,
在满足任务约束条件下, 将群智任务分配给合适的工作者, 以提高群智任务的完成效率和结果 …
在满足任务约束条件下, 将群智任务分配给合适的工作者, 以提高群智任务的完成效率和结果 …
Optimizing crowdship** effectiveness in B2C deliveries: a multi-criteria approach for crowd selection
This study addresses the growing need for efficient last-mile delivery solutions through
crowdship**, a key element of the sharing economy. The aim of this re-search is to …
crowdship**, a key element of the sharing economy. The aim of this re-search is to …
Task recommendation method for fusion of multi-view social relationship learning and reasoning in the mobile crowd sensing system
J Wang, Z Zhang, G Zhao - Computer Communications, 2023 - Elsevier
With the powerful sensing ability of mobile smart devices, sensing users can obtain crowd
sensing services for intelligent devices in the Internet of Things. However, due to the low …
sensing services for intelligent devices in the Internet of Things. However, due to the low …
An efficient decision support system for the selection of appropriate crowd in crowdsourcing
Crowdsourcing is a complex task‐solving model that utilizes humans for solving
organizational specific problems. For assigning a crowdsourced task to an online crowd …
organizational specific problems. For assigning a crowdsourced task to an online crowd …
A Systematic Literature Review on Task Recommendation Systems for Crowdsourced Software Engineering
Context: Crowdsourced Software Engineering CSE offers outsourcing work to software
practitioners by leveraging a global online workforce. However these software practitioners …
practitioners by leveraging a global online workforce. However these software practitioners …
Multicriteria‐Based Crowd Selection Using Ant Colony Optimization
Internet‐enabled technologies have provided a way for people to communicate and
collaborate with each other. The collaboration and communication made crowdsourcing an …
collaborate with each other. The collaboration and communication made crowdsourcing an …
MIG: Addressing the Cold-Start Problem in Task Recommendations Through Enhanced Meta Embeddings
Z Wang, Y Ma - … International Conference on Systems, Man, and …, 2024 - ieeexplore.ieee.org
With the rapid expansion of freelance workers and tasks, online labor market platforms face
a significant challenge with the cold-start problem, which makes it very difficult to effectively …
a significant challenge with the cold-start problem, which makes it very difficult to effectively …
From zero to the hero: a collaborative market aware recommendation system for crowd workers
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' …
supply. The uncertainty of crowd workers' behaviors makes it challenging to predict workers' …