Just ask designing intent driven algos
"Presented by Anna Schneider, Data Science Manager at Stitch Fix. Classic recommender systems are great for answering the question 'what does a user want in general?'. However, they only get you partway to an answer to 'what does a user want right now?'. To close the gap, it...
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| Formato: | Vídeo online |
| Idioma: | Inglés |
| Publicado: |
[Seattle, Washington] :
Data Science Salon
2019.
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822835506719 |
| Sumario: | "Presented by Anna Schneider, Data Science Manager at Stitch Fix. Classic recommender systems are great for answering the question 'what does a user want in general?'. However, they only get you partway to an answer to 'what does a user want right now?'. To close the gap, it helps to capture and act on real-time user intent. I'll share two examples of this paradigm, and the resulting changes to our algorithms and architectures at Stitch Fix."--Resource description page. |
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| Notas: | Title from resource description page (Safari, viewed October 29, 2020). Place of publication from title screen. |
| Descripción Física: | 1 online resource (1 streaming video file (25 min., 36 sec.)) : digital, sound, color |
