When one would like to shop online, he has numerous search algorithms at his disposal. These can accept various criteria, for example: cost interval, manufacturer, and other relevant information about the product. The number of hits depends on how well is the product's datasheet filled. The system is unable to learn. That creates the need for a system, which is able to adapt to the customers and determine their shopping habits and taste. The goal of our work is to present the requirements and a possible realization alternative of such a system.
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