A Review of Crowdsourcing Applications in Artificial Intelligence

被引：0

作者：

Geng, Yatao ^{[1
]}

机构：

[1] China Highway Vehicle & Machinery Co LTD, Beijing, Peoples R China

来源：

8TH INTERNATIONAL CONFERENCE ON BIG DATA AND INTERNET OF THINGS, BDIOT 2024 | 2024年

关键词：

crowdsourcing; artificial intelligence; internet; intelligent space; EFFICIENT TASK ASSIGNMENT;

D O I：

10.1145/3697355.3697419

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Crowdsourcing has become a research hotspot in recent years. This paper introduces the development and application of crowdsourcing in the field of artificial intelligence, shows the deep integration of outstanding packages between people, machines and the Internet, and reveals the important role of crowdsourcing in building intelligent space. This paper first describes the concept of crowdsourcing, and analyzes and summarizes the current research status. Secondly, this paper further studies the current problems and challenges faced by crowdsourcing. Finally, the existing problems and future research directions of crowdsourcing are discussed.

引用

页码：387 / 391

页数：5

共 25 条

[1] Maximizing Consumer Satisfaction of IoT Energy Services [J].

Abusafia, Amani ;

Bouguettaya, Athman ;

Lakhdari, Abdallah .

SERVICE-ORIENTED COMPUTING (ICSOC 2022), 2022, 13740 :395-412

[2] Utilizing crowdsourcing and machine learning in education: Literature review [J].

Alenezi, Hadeel S. ;

Faisal, Maha H. .

EDUCATION AND INFORMATION TECHNOLOGIES, 2020, 25 (04) :2971-2986

[3] Rehumanized Crowdsourcing: A Labeling Framework Addressing Bias and Ethics in Machine Learning [J].

Barbosa, Nata M. ;

Chen, Monchu .

CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,

[4] Optimizing the Crowdsourcing-based Bike Station Rebalancing Scheme [J].

Duan, Yubin ;

Wu, Jie .

2019 39TH IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2019), 2019, :1559-1568

[5] Task Allocation in Spatial Crowdsourcing: Current State and Future Directions [J].

Guo, Bin ;

Liu, Yan ;

Wang, Leye ;

Li, Victor O. K. ;

Lam, Jacqueline C. K. ;

Yu, Zhiwen .

IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (03) :1749-1764

[6] TaskMe: Toward a dynamic and quality-enhanced mechanism for mobile crowd sensing [J].

Guo, Bin ;

Chen, Huihui ;

Yu, Zhiwen ;

Nan, Wenqian ;

Xie, Xing ;

Zhang, Daqing ;

Zhou, Xingshe .

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2017, 102 :14-26

[7]

Kamar E., 2012, AAMAS, V12, P467

[8]

Kazemi L., 2013, P 21 ACM SIGSPATIAL, P314, DOI DOI 10.1145/2525314.2525346

[9]

Lease Matthew, 2011, WORKSH 25 AAAI C ART

[10] Task-Management Method Using R-Tree Spatial Cloaking for Large-Scale Crowdsourcing [J].

Li, Yan ;

Shin, Byeong-Seok .

SYMMETRY-BASEL, 2017, 9 (12)

← 1 2 3 →