Learn More
Recommender systems are becoming a salient part of many e-commerce websites. Much research has focused on advancing recommendation technologies to improve accuracy of predictions, while behavioral aspects of using recommender systems are often overlooked. In this study, we explore how consumer preferences at the time of consumption are impacted by(More)
Advancements in information technologies offer opportunities for designing and deploying innovative market mechanisms. For example, combinatorial auctions, in which bidders can bid on combinations of goods, can increase the economic efficiency of a trade when goods have complementarities. However, lack of real-time bidder support tools has been a major(More)
In contingency judgment a primacy effect exists when a conclusion about the relationship between clinical variables is inordinately influenced by cases seen earlier rather than later in a presentation sequence. In this study, medical and nursing trainees evidenced this behavior in a hypothetical clinical judgment situation. The behavior was tied to an(More)
Recommender systems are becoming a salient part of many e-commerce websites. Much research has focused on advancing recommendation technologies to improve the accuracy of predictions, while behavioral aspects of using recommender systems are often overlooked. In this study, we explore how consumer preferences at the time of consumption are impacted by(More)
Combinatorial auctions – in which bidders can bid on combinations of goods – can increase the economic efficiency of a trade when goods have complementarities. Recent theoretical developments have lessened the computational complexity of these auctions, but the issue of cognitive complexity remains an unexplored barrier for the online marketplace. This(More)
We build upon the real-time bid evaluation metrics developed by Adomavicius and Gupta (2005) that can present bidders with exact price information whenever a bidder wants to explore her alternatives, thereby providing a continuous environment. In this appendix, we provide technical details of the computational real-time bidder support capabilities. Let I be(More)
We present the results of two controlled behavioral studies on the effects of online recommendations on consumers' economic behavior. In the first study, we found strong evidence that participants' willingness to pay was significantly affected by randomly assigned song recommendations, even when controlling for participants' preferences and demographics. In(More)
Extended Abstract Combinatorial auctions, in which bidders can bid on combinations of assets (commonly referred to as bundles or packages), represent an innovative yet complex market mechanism that can enhance the ability to allocate multiple assets efficiently when the values of the assets exhibit synergies (e.g., " I will pay $100 if I get both matching(More)
Prior research has shown that online recommendations have significant influence on users' preference ratings and economic behavior. Specifically, the self-reported preference rating (for a specific consumed item) that is submitted by a user to a recommender system can be affected (i.e., distorted) by the previously observed system's recommendation. As a(More)