Dhanashree
Balaram
Senior Machine Learning Scientist at Lily AI
"Recommender systems and women shoppers"
"Recommender systems and women shoppers"
08 - 5:30 PM EDT/New York (See in local time)
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04//2024 5:30 PM
04//2024 05:50 PM
America/New_York
#WTGC2024
"Recommender systems and women shoppers"
#WTGC2024
"Recommender systems and women shoppers"
https://app.events.ringcentral.com/events/women-in-tech-global-conference-2024/reception
https://www.womentech.net/vfairs
"Recommender systems and women shoppers"
"Recommender systems and women shoppers"
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Session: Recommender systems and women shoppers
I'd like to delve into some common concepts behind recommender systems. The positive and negative impact of tracking user behavior (specifically women). On the positive side of things, I want to touch upon companies working towards understanding their user base and recommending body positive apparel. On the negative side, I'd like to examine some issues with tracking user behavior and what this does to the psyche of the user. Imagine this talk to be a pro-con list with points about the shopping experience and of the tech behind the scenes.Key Takeaways
- How do recommender systems work in 2022?
- pros and cons of tracking user data for retail
- ML can either make a shopping experience draining or fulfilling
Bio
The last 6 years have shaped my professional life and strategically placed me at the brink of cutting edge ML technology. Whether it is understanding complex research, tweaking existing ML models or building my own unique solutions, I believe that the user is at the center. My research has always consisted of guard rails within which I find numerous fun challenges. There's nothing more satisfying than a novel research idea that works in the real world!My website - https://www.dhanashreebalaram.com/
