Guandong Xu

Guandong Xu received his PhD degree in Computer Science from Victoria University, Australia, in 2009. Prior to this, he received B.Eng and M.Eng degree in Computer Science and Computer Engineering from Zhejiang University in 1989 and 1992, respectively. He is now a lecturer in the Faculty of Engineering & IT at University of Technology Sydney. During 2008-2009, he was an awardee of the prestigious Endeavour Research Fellowship by Australian Federal Government and working in the University of Tokyo. His research interests cover data mining, machine learning, Internet computing, Web search, recommender systems, social network analysis, data analytics as well as social computing. He has extensively published papers in international journals and conference proceedings in the areas of data mining, Web recommendation and social informatics.

Publications

International Journal of Rough Sets and Data Analysis (IJRSDA)
International Journal of Rough Sets and Data Analysis (IJRSDA)
Parikshit Narendra Mahalle. Est. 2014.
The International Journal of Rough Sets and Data Analysis (IJRSDA) is a multidisciplinary journal that publishes high-quality and significant research in all fields of rough...
Social Media Mining and Social Network Analysis: Emerging Research
Social Media Mining and Social Network Analysis: Emerging Research
Guandong Xu, Lin Li. © 2013. 347 pages.
Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the...
Clustering Algorithms for Tags
Clustering Algorithms for Tags
Yu Zong, Guandong Xu. © 2013. 15 pages.
With the development and application of social media, more and more user-generated contents are created. Tag data, a kind of typical user generated content, has attracted lots of...
Recommending Related Microblogs
Recommending Related Microblogs
Lin Li, Huifan Xiao, Guandong Xu. © 2013. 9 pages.
Computing similarity between short microblogs is an important step in microblog recommendation. In this chapter, the authors utilize three kinds of approaches—traditional...
On Group Extraction and Fusion for Tag-Based Social Recommendation
On Group Extraction and Fusion for Tag-Based Social Recommendation
Guandong Xu, Yanhui Gu, Xun Yi. © 2013. 13 pages.
With the recent information explosion, social websites have become popular in many Web 2.0 applications where social annotation services allow users to annotate various resources...
Building User Communities of Interests by Using Latent Semantic Analysis
Building User Communities of Interests by Using Latent Semantic Analysis
Guandong Xu. © 2011. 31 pages.
Nowadays Web users are facing the problems of information overload and drowning due to the significant and rapid growth in the amount of information and the large number of...