Spring into STEM | Applying Statistics to Improve Online Recommendations | Virtual Lecture Series
As a part of the Spring into STEM Lecture Series, UCL School of Management’s Yiting Deng will be hosting a session on; Applying Statistics to Improve Online Recommendations. In the talk, Yiting discusses the challenges in recommendation systems and why only a few (if any) address and accommodate these challenges.
Spring into STEM | Applying Statistics to Improve Online Recommendations | Virtual Lecture Series
16 May 2022, 12:00 – 13:00
Recommendation systems for contexts such as online news or online retailing are prevalent in our daily life. There are several challenges in such recommendation systems:
- how to make initial recommendations to users with little or no response history,
- how to learn user preferences for items, and
- how to scale the recommendation system across many users and items, with many potential demographics and attributes respectively.
Through Yiting Deng’s research she designed a statistical method that can efficiently handle these issues simultaneously. Her online experiments in an online retail setting demonstrate the advantage of this method in comparison to existing methods.
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Yiting Deng is an Assistant Professor of Marketing and Analytics at the UCL School of Management. Her main research interests are in digital platforms, advertising, media consumption, and two-sided markets.
Further information
Ticketing
Open
Cost
Free
Open to
All
Availability
Yes
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