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Transformational Power of Recommendation
As the technologies behind recommendation engines become more powerful, the advice and choices they produce could transform the customer and employee experience. Companies are already using recommenders to drive revenue, augment work, and develop human capital. But if the technology is to reach its...
| Autor principal: | |
|---|---|
| Formato: | Electrónico eBook |
| Idioma: | Indeterminado |
| Publicado: |
[S.l.] :
MIT Sloan Management Review,
2020.
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| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 035 | |a (OCoLC)1235826691 | ||
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| 100 | 1 | |a Schrage, Michael. | |
| 245 | 1 | 0 | |a Transformational Power of Recommendation |h [electronic resource] / |c Michael Schrage. |
| 260 | |a [S.l.] : |b MIT Sloan Management Review, |c 2020. | ||
| 300 | |a 1 online resource | ||
| 500 | |a Title from content provider. | ||
| 520 | |a As the technologies behind recommendation engines become more powerful, the advice and choices they produce could transform the customer and employee experience. Companies are already using recommenders to drive revenue, augment work, and develop human capital. But if the technology is to reach its full potential, companies will need to address sensitive issues around trust and privacy. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/53863MIT62219/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||