4 papers
Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search
Jing Dong, Prakirt Raj Jhunjhunwala, Yash Kanoria
We model the interaction between a user and an AI driven recommendation system. The user initiates the process by conveying preference information through a costly and noisy messag…
What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce
Amine Allouah, Omar Besbes, Josué D Figueroa +2
Online marketplaces will be transformed by autonomous AI agents acting on behalf of consumers. Rather than humans browsing and clicking, AI agents can parse webpages or leverage AP…
Impact of Rankings and Personalized Recommendations in Marketplaces
Omar Besbes, Yash Kanoria, Akshit Kumar
Decision-making often requires individuals to navigate large sets of options with incomplete information and imperfectly formed preferences. Information provisioning tools, such as…
The Fault in Our Recommendations: On the Perils of Optimizing the Measurable
Omar Besbes, Yash Kanoria, Akshit Kumar
Recommendation systems are widespread, and through customized recommendations, promise to match users with options they will like. To that end, data on engagement is collected and…