Paper Info
Title
Study on Meta-Learning Approach Application in Rank Aggregation Algorithm Selection.
Abstract
Rank aggregation is an important task in many areas, nevertheless, none of rank aggregation algorithms is best for all cases. The main goal of this work is to develop a method, which for a given rank list finds the best rank aggregation algorithm with respect to a certain optimality criterion. Two approaches based on meta-feature description are proposed and one of them shows promising results.
Year
Venue
DocType
2015
MetaSel@PKDD/ECML
Conference
Citations 
PageRank 
References 
2
0.38
1
Authors
3
Name
Order
Citations
PageRank
Alexey Zabashta121.06
Ivan Smetannikov222.75
Andrey Filchenkov34615.80