PERSONALIZED SHOPPING LIST RECOMMENDATION BASED ON SHOPPING BEHAVIOR

摘要

A method of providing purchasing recommendations to a user by generating a purchasing behavior model of the user is disclosed. The model is generated by capturing user's purchase preference information during registration and/or by tracking and analyzing purchases of the user at physical and virtual stores. The products purchased by the user are identified to be in one or more of the following categories: next interval due; seasonal; store dependent; promotion dependent; commodity-brand dependent; commodity dependent; brand dependent; and price-dependent. When a request is made for shopping recommendations, a server generates a list of personalized purchase-recommendations by performing a reasoning process on the user's purchasing behavior model and based on the user's current context, e.g. visited store, current time and current date. The generated list of personalized purchase-recommendations is then forwarded to the user.