RankBooster: Visual analysis of ranking predictions

• Main Authors: PURI, Abishek, KU, Bon Kyung, WANG, Yong, QU, Huamin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Human-centered computing; Visual analytics; Information visualization; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5358; https://ink.library.smu.edu.sg/context/sis_research/article/6362/viewcontent/2004.06435.pdf
• Institution: Singapore Management University

Ranking is a natural and ubiquitous way to facilitate decision-making in various applications. However, different rankings are often used for the same set of entities, with each ranking method placing emphasis on different factors. These factors can also be multi-dimensional in nature, compounding t...