Product recommendation method and device

The invention discloses a product recommendation method and device, relates to the technical field of big data, can also be used in the financial field, and the method comprises the steps: determining a matching result of a target user and a plurality of products according to the user information of the target user and the product information of the products; judging whether a reference product associated with a similar user needs to be acquired or not, wherein the similarity between the similar user and the target user is greater than a preset similarity threshold; if yes, the matching result is corrected according to a reference product, and a preset number of target products are screened out from the multiple products according to the corrected matching result; and recommending the target product to the target user. According to the invention, personalized recommendation can be carried out according to user demands, autonomy is high, and the method is also suitable for users without product purchase experi