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ESLI: Enhancing slope one recommendation through local information embedding
Slope one is a popular recommendation algorithm due to its simplicity and high efficiency for sparse data. However, it often suffers from under-fitting since the global information of all relevant users/items are considered. In this paper, we propose a new scheme called enhanced slope one recommenda...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786606/ https://www.ncbi.nlm.nih.gov/pubmed/31600235 http://dx.doi.org/10.1371/journal.pone.0222702 |