When buying in the Internet, consumer lacks both the opportunity to physically test the product and to consult the seller immediately. If he or she needs more information to make the decision, there is plenty of information sources in the Internet, where he or she can find out how the product is evaluated by experts and other customers. However, there are many flaws of such sources, such as being hard to find, low credit-ability, and often, a small number of compared products. In this paper we propose that a super-ranking based on an input set of source product rankings can supply more usable information and thus can be used as consumer decision support tool. We provide a detailed description of how a super-ranking can be automatically generated and present a sample super-ranking of popular films.
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