Social tags for resource discovery : a comparison between machine learning and user-centric approaches
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...
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: | Journal Article |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/94238 http://hdl.handle.net/10220/8389 |
Similar Items
What makes a high-quality user-generated answer?
by: Chua, Alton Yeow Kuan, et al.
Published: (2013)
by: Chua, Alton Yeow Kuan, et al.
Published: (2013)
Similar Items
-
Weighing the usefulness of social tags for content discovery
by: Khasfariyati Razikin, et al.
Published: (2012) -
Resource discovery through social tagging : a classification and content analytic approach
by: Goh, Dion Hoe-Lian, et al.
Published: (2012) -
Can social tags help you find what you want?
by: Khasfariyati Razikin, et al.
Published: (2011) -
SPLASH : blending gaming and content sharing in a location-based mobile application
by: Razikin, Khasfariyati, et al.
Published: (2012) -
Investigating user perceptions of engagement and information quality in mobile human computation games
by: Goh, Dion Hoe-Lian, et al.
Published: (2013)