MERCHANDISE RECOMMENDING SYSTEM AND METHOD THEREOF

The present invention relates to a merchandise recommending system, and it is an object of the present invention is to derive recommended merchandise through a multiple image search, in which image characteristic information is extracted through a text search or an image search, thereby deriving recommended merchandise. To accomplish the above object, according to one aspect of the present invention, there is provided an operator server comprising a data receiving unit for receiving a ‘merchandise search request signal’ containing a text search or an image search (request) from the user computer and receiving a unique identification number of each user input information and merchandise information together with a corresponding matching table from the manager computer, a matching process module unit for sequentially arranging images by performing a command processing on search keywords that are searched through the characteristic information extraction module unit, a merchandise recommendation module unit for deriving recommended merchandise using the image characteristic information according to a search result, a data transmission unit for transmitting the merchandise extracted through the merchandise recommendation module unit to the user computer, and a data storage unit stores the user input information, merchandise information, unique identification numbers, and matching table.