The Practice of Crowdsourcing

Erscheinungsjahr 2019
ISBN: 978-1-68173-523-8
Verlag: Morgan & Claypool Publishers

Buch, Englisch, 149 Seiten, Paperback, Format (B × H): 191 mm x 235 mm

Reihe: Synthesis Lectures on Information Concepts, Retrieval, and Services

Many data-intensive applications that use machine learning or artificial intelligence techniques depend on humans providing the initial dataset, enabling algorithms to process the rest or for other humans to evaluate the performance of such algorithms.Not only can labeled data for training and evaluation be collected faster, cheaper, and easier than ever before, but we now see the emergence of hybrid human-machine software that combines computations performed by humans and machines in conjunction. There are, however, real-world practical issues with the adoption of human computation and crowdsourcing. Building systems and data processing pipelines that require crowd computing remains difficult. In this book, we present practical considerations for designing and implementing tasks that require the use of humans and machines in combination with the goal of producing high-quality labels.

Autoren/Hrsg.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval

Inhaltsverzeichnis

- Preface
- Acknowledgments
- Introduction
- Designing and Developing Microtasks
- Quality Assurance
- Algorithms and Techniques for Quality Control
- The Human Side of Human Computation
- Putting All Things Together
- Systems and Data Pipelines
- Looking Ahead
- Bibliography
- Author's Biography

Über Autor(innen)

Omar Alonso is a Principal Data Scientist Lead at Microsoft in Silicon Valley where he works on the intersection of social media, information retrieval, knowledge graphs, and human computation. He holds a Ph.D. from the University of California at Davis and an undergraduate degree from UNICEN, Argentina.

Gary Marchionini is the Cary C. Boshamer Professor of Information Science in the School of Information and Library Science at the University of North Carolina at Chapel Hill. His Ph.D. is from Wayne State University in mathematics education with an emphasis on educational computing. His research interests are in information seeking in electronic environments, digital libraries, human-computer interaction, digital government and information technology policy. He has had grants or contracts from the National Science Foundation, the U.S. Department of Education, the Council on Library Resources, the National Library of Medicine, the Library of Congress, the Kellogg Foundation, and NASA, among others. He was the Conference Chair for the 1996 ACM Digital Library Conference and program chair for the 2002 ACM-IEEE Joint Conference on Digital Libraries. He is editor-in-chief for ACM Transactions on Information Systems and serves on the editorial boards of a dozen scholarly journals. He has published more than 150 articles, chapters, and conference papers in the information science, computer science, and education literatures. He founded the Interaction Design Laboratory at UNC-CH.