Cargando…
Model Description of Similarity-Based Recommendation Systems
The quality of online services highly depends on the accuracy of the recommendations they can provide to users. Researchers have proposed various similarity measures based on the assumption that similar people like or dislike similar items or people, in order to improve the accuracy of their service...
Autores principales: | Kanamori, Takafumi, Osugi, Naoya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515218/ https://www.ncbi.nlm.nih.gov/pubmed/33267416 http://dx.doi.org/10.3390/e21070702 |
Ejemplares similares
-
Diabetes medication recommendation system using patient similarity analytics
por: Tan, Wei Ying, et al.
Publicado: (2022) -
Integrating Triangle and Jaccard similarities for recommendation
por: Sun, Shuang-Bo, et al.
Publicado: (2017) -
Weighted Similarity and Core-User-Core-Item Based Recommendations
por: Zhang, Zhuangzhuang, et al.
Publicado: (2022) -
Computational Drug Repurposing Based on a Recommendation System and Drug–Drug Functional Pathway Similarity
por: Shao, Mengting, et al.
Publicado: (2022) -
Enhancing the scalability of distance-based link prediction algorithms in recommender systems through similarity selection
por: Su, Zhan, et al.
Publicado: (2022)