Commodity recommendation method and system based on online shopping data

The invention is suitable for the field of computers, and provides a commodity recommendation method and system based on online shopping data, and the method comprises the steps: obtaining retrieval presentation information about a first commodity and an authentication instruction of a first user, and generating a data obtaining request according to the retrieval presentation information and the authentication instruction of the first user; reference data shared by a second user in interactive users is acquired according to the data acquisition request, the reference data comprises online shopping data, and the interactive users comprise the first user and the second user; identifying a second model of a second commodity matched with the first commodity in the reference data; determining a target attribute of the first commodity according to the second model, wherein the target attribute at least comprises a work adaptation attribute; according to the technical scheme provided by the embodiment of the inventi