A multi-agent marketplace, MAGNET (Multi AGent Negotiation Testbed), is a promising solution to conduct online combinatorial auctions. The trust model of MAGNET is somewhat diffe...
The aggregation of conflicting preferences is a central problem in multiagent systems. The key difficulty is that the agents may report their preferences insincerely. Mechanism ...
In this paper we present a B2B integration project, which aims to augment the added value of services instead of improving efficiency by automating processes. This paper introduce...
The Platform for Privacy Preferences (P3P) provides a standard computer-readable format for privacy policies and a protocol that enables web browsers to read and process these pol...
Simon Byers, Lorrie Faith Cranor, David P. Kormann
We develop two algorithms to manage bid data in flexible, multi-unit double auctions. The first algorithm is a multi-unit extension of the 4-HEAP algorithm, and the second is a ...
Online auctions are increasingly being used as a medium to procure goods and services. As the number of auction sites increases, however, consumers will inevitably want to track a...
Recommendations in e–commerce collaborative filtering are based on predicting the preference of a user for a given item according to historical records of other user’s prefere...
Our model of multi-party negotiations is a many parties, many issues model. The whole multi-party negotiation consists of a set of mutually influencing bilateral negotiations that...
This paper presents how text -mining techniques can be used to analyze an enterprise’s external environment searching for competitors, related products and services, marketing st...