Collaborative online learning of user generated content

• Main Authors: LI, Guangxia, CHANG, Kuiyu, HOI, Steven C. H., LIU, Wenting, JAIN, Ramesh
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2011
• Subjects: online learning; classification; imbalanced class distribution; Computer Sciences; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/2349; https://ink.library.smu.edu.sg/context/sis_research/article/3349/viewcontent/p285_li.pdf
• Institution: Singapore Management University

We study the problem of online classification of user generated content, with the goal of efficiently learning to categorize content generated by individual user. This problem is challenging due to several reasons. First, the huge amount of user generated content demands a highly efficient and scala...