We investigate asymptotically optimal keyword auctions, that is, auctions which maximize revenue as the number of bidders grows. We do so under two alternative behavioral assumpti...
Due to inherent privacy concerns, online personalization services such as those offered through toolbars and desktop widgets are characterized by "no-free-disposal" (NFD...
Norms defined by institutions and enforced by organizations have been put forward as a mechanism to increase the efficiency and reliability of electronic transactions carried out ...
Accurate prediction of customer preferences on products is the key to any recommender systems to realize its promised strategic values such as improved customer satisfaction and t...
An important problem in search engine advertising is keyword1 generation. In the past, advertisers have preferred to bid for keywords that tend to have high search volumes and hen...
Bids during an online auction arrive at unequally-spaced discrete time points. Our goal is to capture the entire continuous price-evolution function by representing it as a functi...
This paper discusses semantic interoperability issues in agentbased E-commerce systems. The literature reports various techniques to enable agents to understand the meanings of th...
Needs-based analysis lies at the intersection of product marketing and new product development. It is the study of why consumers purchase and what they do with those purchases. In...
We present a semi-parametric model that describes pricing behaviors in a market environment, and we show how that model can be used to guide resource allocation and pricing decisi...
Wolfgang Ketter, John Collins, Maria L. Gini, Paul...
The Internet and file sharing technology (such as P2P network) significantly alleviate the content distribution cost. However, better digital content distribution also means that ...