Director Product Management Intuit
-
Intuit
- Fremont, CA
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16:10
(UTC -12:00) - https://sf-sp.blog/
- in/mansisinghal
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We will show how to factorize and debias ranking to improve personalization and reduce popularity bias both on item side and to reduce the dominance of power users.
We write sample code for two tower models for retrieval and add RLHF/RLAIF style alignment with a ranking model to make the retrieval more aligned with the ranking model on top
Recipe Generation from Food Images
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
This repository contains the demo app for the blog
A comparison of various methods of sports predictions