时间: 2015年6月23日（周二）上午10：00

地点: 宝山校东区翔英大楼516室

讲座: 基于网络校准和特征联合聚类的朋友推荐

演讲者: Associate Prof. Jian Zhang，悉尼科技大学（UTS）

讲座摘要：

Friend recommendation is an important recommender application in social media. Major social websites such as Twitter and Facebook are all capable of recommending friends to individuals. However, friend recommendation is a difficult task and most social websites use simple friend recommendation algorithms such as similarity and popularity, whose level of accuracy does not satisfy the majority of users. The difficulty of friend recommendation lies on the noisy environment of social network and the multi-dimensional social information. To overcome the problem, in this talk, I will present a two-stage procedure for more accurate friend recommendation: In the first stage, based on the relationship of different social networks, the Flickr tag network and contact network are aligned to generate a “possible friend list”; Then, by making the assumption that “a friend's friends also tend to be friends”, we enlarge this list and in the second stage, a co-clustering algorithm is applied to the tag and image information of the list to refine the recommendation result in the first stage. Experimental results show that the proposed two-stage method achieves better and more acceptable recommendations.

演讲者简介：

Jian Zhang received the B.Sc. degree from East Normal University, China in 1982; the M.Sc. degree in Computer Science from Flinders University, Australia in 1994; and the Ph.D. degree in Electrical Engineering from the University of New South Wales, Australia in 1999. From 1997 to 2003, A/Prof. Zhang was with the Visual Information Processing Laboratory, Motorola Labs, Sydney, as a Senior Research Engineer, and later became a Principal Research Engineer and a Foundation Manager with the Visual Communications Research Team. From 2004 to July 2011, he was a Principal Researcher and a Project Leader with National ICT Australia, Sydney, and a Conjoint Associate Professor with the School of Computer Science and Engineering, UNSW. He is currently an Associate Professor with the Advanced Analytics Institute, School of software, Faculty of Engineering and Information Technology, University of Technology, Sydney. A/Prof Zhang’s research interests include multimedia signal processing, computer vision, pattern recognition, visual information mining, human-computer interaction and intelligent video surveillance systems. Apart from more than 100 paper publications, book chapters, patents and technical reports from his research output, he was co-author of more than ten patents filed in US, UK, Japan and Australia including six issued US patents. Dr. Zhang is an IEEE Senior Member, Associated Editors for IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) and EURASIP Journal on Image and Video Processing. As a general co-chair, he has hosted the 2012 IEEE International Conference on Multimedia and Expo in Melbourne, Australia. As a Technical Program Co-chair, he chaired the IEEE International Workshop on Multimedia Signal Processing (MMSP) 2008 and IEEE Visual Communications and Image Processing (VCIP), 2014.