Social tags for resource discovery : a comparison between machine learning and user-centric approaches

• Main Authors: Khasfariyati Razikin, Goh, Dion Hoe-Lian, Chua, Alton Yeow Kuan, Lee, Chei Sian
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Article
• Language: English
• Published: 2012
• Subjects: DRNTU::Library and information science
• Online Access: https://hdl.handle.net/10356/94238; http://hdl.handle.net/10220/8389
• Institution: Nanyang Technological University

The objective of this paper is to investigate the effectiveness of tags in facilitating resource discovery through machine learning and user-centric approaches. Drawing our dataset from a popular social tagging system, Delicious, we conducted six text categorization experiments using the top 100 fre...