Cited By
View all- Wang MZhang CSong J(2024)CrowdDC: Ranking From Crowdsourced Paired Comparison With Divide-and-ConquerIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.329663211:2(3015-3021)Online publication date: Apr-2024
Inferring rankings over elements of a set of objects, such as documents or images, is a key learning problem for such important applications as Web search and recommender systems. Crowdsourcing services provide an inexpensive and efficient means to ...
Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a collection of training examples and learn the probability distribution that ...
Crowdsourcing is a relatively inexpensive and efficient mechanism to collect annotations of data from the open Internet. Crowdsourcing workers are paid for the provided annotations, but the task requester usually has a limited budget. It is desirable to ...
Association for Computing Machinery
New York, NY, United States
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inView or Download as a PDF file.
PDFView online with eReader.
eReaderView this article in HTML Format.
HTML Format