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Thesis topic proposal
 
Attila Tasnádi
Topics in computational social choice

THESIS TOPIC PROPOSAL

Institute: Corvinus University of Budapest
computer sciences
Doctoral School of Economics, Business and Informatics

Thesis supervisor: Attila Tasnádi
Location of studies (in Hungarian): CUB
Abbreviation of location of studies: BCE


Description of the research topic:

The applications of voting rules are extended to new areas in management science, computer science, artificial intelligence and expert systems. Analogous to standard voting situations are for instance the ranking of cities based on their attractiveness, automated decision making, or the ranking of figure skaters by judges. Surprisingly, only Dwork et al. (2002) started the work on rankings based on partial lists of voters in which the unranked alternatives are not treated as lowest ranked alternatives. This problem is essential for ranking algorithms for the World Wide Web (like the PageRank algorithm). The mentioned aggregation problem is a problem of ranking under incomplete information for which quite a number of methods are available. We compare and investigate the relationship between these alternative methods and apply them to real-life problems.

Number of students who can be accepted: 1

Deadline for application: 2024-12-31


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
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