Rank aggregation, the task of aggregating several rankings into a single ranking, sits at the foundation of social choice as introduced by Arrow (1951). Besides preference aggregation, it has numerous important applications, for example in the context of meta-search engines (Dwork et al.
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Jan 1, 2023 · This chapter explores different methods to analyze the results of Hyperparameter Tuning (HPT) experiments. Four different scenarios and two ...
Abstract. The rank aggregation problem is to combine many different rank orderings on the same set of can- didates, or alternatives, in order to obtain a ...
This chapter explores different methods to analyze the results of Hyperparameter Tuning (HPT) experiments. Four different scenarios and two different ...
Jan 15, 2024 · This essay delves into the core ranking aggregation methods, exploring their methodologies, applications, and the context in which each is most effective.
A comparative study of rank aggregation methods for partial and ...
pmc.ncbi.nlm.nih.gov › PMC6357556
Rank aggregation (RA), the process of combining multiple ranked lists into a single ranking, has played an important role in integrating information from ...
The purpose of ranking aggregation (or fusion) is to combine multiple rankings to a consensus one. In the ranking aggregation, some of the items' preference ...
ABSTRACT. Aggregating multiple rankings in a database is an important task well studied by the database community. High-stakes.
We consider the problem of combining ranking results from various sources. In the context of the Web, the main ap- plications include building meta-search ...
The evaluation result in this study can provide some insights on the data selection and method selection for ranking aggregation of genomic problems. Data ...