Machine learningRanking models

Metode agregacije rangova

Agregacija rangova je porodica metoda koje kombinuju više rangiranih lista alternativa u jedan konsenzusni rang. Formalno proučavane u kontekstu pretraživanja veba od strane Dworka, Kumara, Naora i Sivakumara (2001), ove metode rešavaju problem sintetizovanja divergentnih redosleda preferencija iz više izvora — kao što su pretraživači, stručni žiranti ili glasački listići — u jedan koherentan, reprezentativan redosled koji minimizira ukupno neslaganje među ulaznim rangiranjima.

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Izvori

  1. Dwork, C., Kumar, R., Naor, M., & Sivakumar, D. (2001). Rank aggregation methods for the web. Proceedings of the 10th International Conference on World Wide Web, 613–622. DOI: 10.1145/371920.372165

Kako citirati ovu stranicu

ScholarGate. (2026, June 2). Rank Aggregation Methods. ScholarGate. https://scholargate.app/sr/decision-making/rank-aggregation

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Citirana u

ScholarGateRank Aggregation (Rank Aggregation Methods). Preuzeto 2026-06-15 sa https://scholargate.app/sr/decision-making/rank-aggregation · Skup podataka: https://doi.org/10.5281/zenodo.20539026