STUDY OF TEAM FORMATION PROBLEM: FROM SINGLE TO PARALLEL PERSPECTIVES

MPhil Thesis Defence


Title: "STUDY OF TEAM FORMATION PROBLEM: FROM SINGLE TO PARALLEL PERSPECTIVES"

By

Mr. Xinyu WANG


Abstract

Given a complex task requiring a specific set of skills, it is useful to form a 
team of experts who work in a collaborativemanner against time and many 
different costs. Team formation in the setting of social networks is a 
fundamental problem in many database or web applications. For example, we need 
to find a suitable team to answer community-based questions and collaborative 
software development. It is also well-recognized that forming a suitable team 
in social networks is nontrivial, since the problem involves many cost factors 
such as communication overhead and load balancing. Although many algorithms 
have been yet proposed for resolving this problem, most of them are based on 
very different criteria, and performance metrics, and their performance has not 
been empirically compared. In this paper, we first compare and contrast all the 
state-of-the-art team formation algorithms. Next, we propose a benchmark that 
enables fair comparison amongst these algorithms. The algorithms are compared 
using datasets which are suitable for evaluating the performance in single 
machine perspective. We then implement these algorithms using a common platform 
called the Unified System for Team Formation (USTF) and evaluate their 
performance using several real datasets. The USTF is a system built on large 
scale real database and deals with team formation task in distributedmanner. We 
also present a case study that shows the performance of different algorithms in 
a range of real world cases. We discuss the dynamic case of the team formation 
problem as well, which could be a future direction of the study of the team 
formation problem.


Date:			Friday, 29 April 2016

Time:			3:30pm - 5:30pm

Venue:			Room 3588
 			Lifts 27/28

Committee Members:	Dr. Wilfred Ng (Supervisor)
 			Prof. Shing-Chi Cheung (Chairperson)
 			Dr. Sunghun Kim


**** ALL are Welcome ****