Recommender systems help people to find information that is interesting to them. However, current recommendation techniques only address the user's short-term and long-term interests, not their immediate interests. This paper describes a method to structure information (with or without using...

The recent development in the Internet technology is very useful for the growth of enterprises. Almost every organization is on the internet and many of them have started their business through e-commerce. Organizations collect information about customers and their business transactions which...

I study a platform-mediated two-sided matching with incomplete information. Platform users voluntarily disclose their taste information to the platform, and the platform aggregates and redistributes the collected information back to each user before they form matches. I characterize conditions...

Abstract Recommender systems that inform consumers about their likely ideal product have become the cornerstone of eCommerce platforms that sell products from competing manufacturers. Using a model of an electronic marketplace in which two competing manufacturers sell their products through a...

Policymakers have recently expressed concerns over the role of recommendation algorithms and their role in forming "filter bubbles". This is a particularly prescient concern in the context of extremist content online; these algorithms may promote extremist content at the expense of more moderate...