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This paper describes a technique for making personal-ized recommendations from any type of database to a user based on similarities between the interest profile of that user and those of other users. In particular, we discuss the implementation of a networked system called Ringo, which makes personalized recommendations for music albums and artists. Ringo's(More)
While there are many Web services which help users find things to buy, we know of none which actually try to automate the process of buying and selling. Kasbah is a system where users create autonomous agents to buy and sell goods on their behalf. In this paper, we describe how Kas-bah works. We also discuss the implementation of a simple proof-of-concept(More)
T he members of electronic communities are often unrelated to each other; they may have never met and have no information on each otherÏs reputation. T his kind of information is vital in electronic commerce interactions, where the potential counterpartÏs reputation can be a signiÐcant factor in the negotiation strategy. T wo complementary reputation(More)
One category of researchers in artiicial life is concerned with modeling and building so-called adaptive autonomous agents. Autonomous agents are systems that inhabit a dynamic, unpredictable environment in which they try to satisfy a set of time-dependent goals or motivations. Agents are said to be adaptive if they improve their competence at dealing with(More)
Software agents help automate a variety of tasks including those involved in buying and selling products over the Internet. Although shopping agents provide convenience for consumers and yield more efficient markets, today's first-generation shopping agents are limited to comparing merchant offerings only on price instead of their full range of value. As(More)