SELF-LEARNING VALUATION

A method of valuating a plurality of digital content items and offering the valuated plurality of digital content items for sale to consumers on devices connected to a network, the method including: on a processor connected to the network receiving the plurality of digital content items; for each received content item: establishing a plurality of attributes from content and characteristics of the content item; establishing a lifetime indicating span of consumers interest in the content item; producing a valuation function for calculating a market value of the content item during its lifetime by finding and ranking nearest one or more previously processed content items having the plurality of attributes with closest similarity to the plurality of attributes of the received content item, performing weighted averaging of the valuation functions produced for the nearest one or more of the previously processed content items; and adapting, using “edge cutting” adaptation, the produced valuation function to a market response reflecting behavior of the consumers in response to the market values of the content item calculated by the valuation function.