Optimizing Positional Scoring Rules for Rank Aggregation | Zendy

Ioannis Caragiannis | Zendy; Xenophon Chatzigeorgiou | Zendy; George A. Krimpas | Zendy; Alexandros A. Voudouris | Zendy

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Optimizing Positional Scoring Rules for Rank Aggregation

Author(s) -

Ioannis Caragiannis,

Xenophon Chatzigeorgiou,

George A. Krimpas,

Alexandros A. Voudouris

Publication year - 2017

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - Uncategorized

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v31i1.10585

Subject(s) - ranking (information retrieval) , aggregate (composite) , complement (music) , rank (graph theory) , exploit , crowdsourcing , computer science , scoring rule , point (geometry) , learning to rank , aggregation problem , social choice theory , data mining , outcome (game theory) , machine learning , information retrieval , artificial intelligence , mathematics , mathematical economics , combinatorics , biochemistry , chemistry , materials science , computer security , complementation , world wide web , composite material , gene , phenotype , geometry

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