Socially-enriched multimedia data co-clustering

• Main Author: TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Databases and Information Systems; Social Media; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/6053; https://ink.library.smu.edu.sg/context/sis_research/article/7056/viewcontent/Socially_enriched_multimedia_2019_av.pdf
• Institution: Singapore Management University

Heterogeneous data co-clustering is a commonly used technique for tapping the rich meta-information of multimedia web documents, including category, annotation, and description, for associative discovery. However, most co-clustering methods proposed for heterogeneous data do not consider the represe...