Commodity recommending method, commodity recommending device and refrigerator

Abstract

The invention discloses a commodity recommending method, a commodity recommending device and a refrigerator. The method comprises the following steps of obtaining commodity data of the located area of the current user; screening the commodity data by using at least one of modes including the festival table, the history order and the commodity sales quantity; obtaining the commodity information to be recommended by using the screened commodity data. The commodity recommending device comprises a display screen and background processing equipment, wherein the background processing equipment comprises an obtaining module, a screening module and an output modules; the refrigerator comprises the recommending device. The dynamic proportion screening function is realized; the screening is performed through multi-index dimensionality and labels and by combining the dynamic proportion; the commodity number and the index proportion can be flexibly configured; the requirements of all of new users and old users can be almost met; the commodity recommending effect is very good.

Description

technical field [0001] The invention relates to the technical field of data screening, and more specifically, to a product recommendation method, a recommendation device and a refrigerator. Background technique [0002] With the development of the Internet, people have long been accustomed to online shopping. However, how to choose the products listed on the Internet has caused troubles for people. In order to solve this problem, product recommendation is particularly important. The conventional recommendation methods are as follows. [0003] (1) Manual configuration: The operator configures the product list in the background, and then, under the manual selection of the operator, manually configures the products to be recommended. This method is the initial stage of commodity recommendation for shopping mall projects—commodity recommendation through manual configuration by operators. However, this method is too subjective and random, there is no unified commodity recommendat...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problems of large manpower input, poor recommendation effect and narrow scope of applicable users in the existing commodity recommendation methods, the present invention provides a commodity recommendation method, a recommendation device and a refrigerator, which can complete intelligent commodity recommendation work, and the recommendation effect Better, the amount of manpower input is greatly reduced, and it is applicable to a wide range of users

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