revenue management

Thursday, December 6, 2018 - 3:00pm - 4:00pm
Shipra Agrawal (Columbia University)
Modern online marketplaces feed themselves. They rely on historical data to optimize content and user-interactions, but further, the data generated from these interactions is fed back into the system and used to optimize future interactions. As this cycle continues, good performance requires algorithms capable of learning actively through sequential interactions, systematically experimenting to improve future performance, and balancing this experimentation with the desire to make decisions with most immediate benefit.
Friday, October 5, 2018 - 11:00am - 11:45am
Krishnamurthy Iyer (Cornell University)
In many online marketplaces and service systems, there is an informational asymmetry between the platform operators and the
users of the system: users often have much less information than is available to the operators. Since information directly affects
user behavior, a natural question is how should a platform share information with users in order to achieve system-wide goals. I
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