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Feature-based recommendations for one-to-one marketing
Most recommendation systems face challenges from products that change with time, such as popular or seasonal products, since traditional market basket analysis or collaborative filtering analysis are unable to recommend new products to customers due to the fact that the products are not yet purchase...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2004
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127642/ https://www.ncbi.nlm.nih.gov/pubmed/32288330 http://dx.doi.org/10.1016/j.eswa.2003.10.008 |