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Tailoring recommendation algorithms to ideal preferences makes users better off
People often struggle to do what they ideally want because of a conflict between their actual and ideal preferences. By focusing on maximizing engagement, recommendation algorithms appear to be exacerbating this struggle. However, this need not be the case. Here we show that tailoring recommendat...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250302/ https://www.ncbi.nlm.nih.gov/pubmed/37291232 http://dx.doi.org/10.1038/s41598-023-34192-x |