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...
| Format: | eBook |
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| Language: | English |
| Published: |
[Seattle, Washington]
Data Science Salon
2019
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| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | "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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| Item Description: | Title from resource description page (Safari, viewed October 29, 2020). - Place of publication from title screen |
| Physical Description: | 1 streaming video file (25 min., 36 sec.) |