报告人：林志伟

报告题目：《Multi-facet consensus measure of rankings》

时间：2017年4月10日下午3:00

地点：仓山校区成功楼603报告厅

主办：数学与计算机科学学院，福建省网络安全与密码技术重点实验室

参加对象：数计学院感兴趣的教师和研究生

内容简介：Rankings are widely used in many information systems. In search engine system, a ranking is a list of ordered documents, in which a document with a lower position is more preferred than the documents behind it. This talk presents a graph based approach to consensus measure for a given set of rankings, in order to understand the degree to which the rankings agree and the extent to which the rankings are related. The proposed multi-facet approach, without the need for pairwise comparison between rankings, allows to measure the consensus in a set of rankings, with respect to the length of common features, the number of common features for a given length, and the number of all common features. The proposed approach has been applied to compare search engine results and to evaluate rank aggregation for unsupervised learning algorithms. 

报告人简介：Dr. Zhiwei Lin is a lecturer in the School of Computing and Mathematics, Ulster University, UK since 2014. He received his doctoral degree from Ulster University in 2010 and both his MSc and BSc from Fujian Normal University in 2005 and 2001. Zhiwei Lin has working experience in industry with SAP, British Sky broadcasting and Oracle from 2011 to 2014 before he returned to Ulster University as a lecturer. His research interests include sequence analysis, machine learning and natural language processing and wireless network optimization.