Thursday 21 Sep 2017: Consensus measure of rankings
Dr. Zhiwei Lin - University of Ulster
Harrison 170 14:30-15:30
A ranking is an ordered sequence of items, in which an item with higher ranking score is more preferred than the items with lower ranking scores. In many information systems, rankings are widely used to represent the preferences over a set of items or candidates. The consensus measure of rankings is the problem of how to evaluate the degree to which the rankings agree. The consensus measure can be used in many information systems, in order to uncover how close or related the rankings are. This talk presents a novel approach for consensus measure of rankings by using graph representation, in which the vertices or nodes are the items and the edges are the relationship of items in the rankings. Such representation leads to various algorithms for consensus measure in terms of different aspects of rankings, including the number of common patterns, the number of common patterns with fixed length and the length of the longest common patterns.
Dr. Zhiwei Lin is a lecturer in the School of Computing, Ulster University, UK since 2014. He received his doctoral degree from Ulster University in 2010, followed by 3-year working experience in industry with SAP, British Sky broadcasting and Oracle from 2011 to 2014. He returned to Ulster University as a lecturer from Nov 2014, where he is currently PI for an EPSRC funded project on rank aggregation. His research interests include information retrieval, natural language processing and wireless network optimization.