Introduction
Seller-Centric product recommendation rules have been realized in various RuleML projects.
In this work, we instantiate Rule Responder to a buyer-centric virtual organization, BuyerRelations, which responds to offers from sellers.
BuyerRelations screens the offers from sellers via Rule Responder's Organizational Agent,which dispatches legitimate offer queries to the Personal Agent that assists the group of buyers with the highest potential interest. The group division of buyers follows the top-level of the 'Computer Games' taxonomy. The Personal agents use myOffer rules -- referring to the remaining levels of the 'Computer Games' taxonomy -- to filter offers through buyers' requirements based on game quantities and attributes such as prices and discounts.
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