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X-WR-CALNAME;VALUE=TEXT:Learning to Leverage the Information Lever: Online Recommendation and Dynamic Pricing
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SUMMARY:Learning to Leverage the Information Lever: Online Recommendation and Dynamic Pricing
DESCRIPTION:<p>	<strong>Speaker:</strong> Wei Tang (Columbia)</p><p>	<strong>Title</strong>: Learning to Leverage the Information Lever: Online Recommendation and Dynamic Pricing</p><p>	<strong>Abstract:</strong><br>Modern customers' decisions are intricately shaped not only by their own preferences but also by the associated information with the products being offered. For online marketplaces that aim to maximize the revenue, it is important to learn how to effectively leverage the information as a lever to induce desired customers’ decisions.</p><p>	In this talk, I will present an algorithmic framework, using a foundational model of information design, for online marketplace’s problem for learning to leverage the information lever. I will then exemplify this framework with applications in online recommendation and dynamic pricing. In both applications, we will discuss the algorithmic challenges, and the solutions to these challenges.</p>
LOCATION:SEC 1.413
STATUS:CONFIRMED
DTSTART:20231006T173000Z
DTEND:20231006T183000Z
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