Automatic sorting method and device for commodity, and computer readable storage medium

Abstract

Embodiments of the invention relate to the field of big data applications, and disclose an automatic sorting method and an automatic sorting device for a commodity, and a computer readable storage medium. In the invention, the automatic sorting method for the commodity comprises the steps of: acquiring the first sorting dimension information when the user performs a keyword search, wherein the first sorting dimension information is used to represent the historical screening recording of the N commodities matching the keyword, and N is a constant greater than 1; obtaining the second sorting dimension information that is used to represent the selling heat of the N commodities; acquiring a first sorting level of the first sorting dimension information and the second sorting dimension information; sorting the N commodities according to the first sorting dimension information, the second sorting dimension information, and the first sorting level. The automatic sorting method and device forthe commodity, and the computer readable storage medium provided by the invention are capable of improving the exposure rate and conversion rate of high quality commodities, and improving the user experience.

Description

technical field [0001] The embodiments of the present invention relate to the field of big data applications, and in particular to a method, device and computer-readable storage medium for automatic sorting of commodities. Background technique [0002] With the development of Internet technology, e-commerce platforms such as shopping websites and group buying websites have become an important part of people's lives. When users shop on the online mall, they often search for their intended products by selecting the options provided on the online mall and / or clicking the corresponding buttons for a purpose, or they can directly enter keywords related to the intended products to search . Usually, after receiving the user's search request, the online shopping mall will return to the user a list of products related to the user's intention. The sorting of each product in the product list will directly affect the user's click rate, order rate, etc. for the product. It is generall...

AI Technical Summary

Problems solved by technology

[0003] The inventors have found that at least the following problems exist in the prior art: when a user searches for a keyword, the sorting and display rules of the product list only arrange the products that match the keyword according to the size of the product inventory or the time on the shelf, resulting in that the products that match the keyword The high-quality products in the products may be sorted at the back due to the small inventory or the earlier launch time, so that the exposure rate and conversion rate of high-quality products are not high, and users need to spend more time to find products that meet their needs. The user experience is not strong

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