Cargando…
A Comparative Study of Rank Aggregation Methods in Recommendation Systems
The aim of a recommender system is to suggest to the user certain products or services that most likely will interest them. Within the context of personalized recommender systems, a number of algorithms have been suggested to generate a ranking of items tailored to individual user preferences. Howev...
Autores principales: | Bałchanowski, Michał, Boryczka, Urszula |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857885/ https://www.ncbi.nlm.nih.gov/pubmed/36673273 http://dx.doi.org/10.3390/e25010132 |
Ejemplares similares
-
A comparative study of rank aggregation methods for partial and top ranked lists in genomic applications
por: Li, Xue, et al.
Publicado: (2017) -
Feature ranking and rank aggregation for automatic sleep stage classification: a comparative study
por: Najdi, Shirin, et al.
Publicado: (2017) -
RankAggreg, an R package for weighted rank aggregation
por: Pihur, Vasyl, et al.
Publicado: (2009) -
A Deep Ranking Weighted Multihashing Recommender System for Item Recommendation
por: Kumar, Suresh, et al.
Publicado: (2022) -
Network tuned multiple rank aggregation and applications to gene ranking
por: Wang, Wenhui, et al.
Publicado: (2015)