| 摘要 |
According to an embodiment of the present invention, a method to recommend card products to a user by a card company server comprises: a step of generating a first vector table including at least one of a category of business frequency (CF) weight value, an inverse goods benefit frequency (IGF) value, a weight value, and a normalization value; generating a second vector table including at least one of the CF weight value, the weight value, and the normalization value for each of a plurality of card products using benefit information of the card products by the types of businesses; calculating a similarity value between the first vector table and the second vector table; and selecting a recommended card product based on the calculated similarity value. As such, accuracy of a card product recommendation service may be increased by recommending a card product using complex elements. |
