Keyword updating method and device, computer equipment and storage medium

Abstract

The invention discloses a keyword updating method and device, computer equipment and a storage medium, and the method comprises the steps: determining corresponding change data according to the feature information, carried by an external notification message, of a change data source in a material database, according to the change type of the change data source carried by the external notification message, correspondingly updating the feature information of the change data source in the index data table and mapping relation data formed by the change data; constructing an operation expression according to difference information embodied before and after the index data table is updated; executing the operation expression, and executing data updating of the corresponding type on the cache data table according to the difference type in the operation expression; and counting the total number of the keywords mapped by the different feature information in the cache data table, and updating the keyword list according to a judgment event of the total number. When a large number of keywords are updated, only the mapping relation data in the data tables need to be modified, differential updating can be efficiently completed, and data replacement or reconstruction does not need to be carried out.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of e-commerce, in particular, a keyword updating method, device, computer equipment, and storage medium. Background technique [0002] At present, the e-commerce service platform uses the keyword extraction algorithm to extract keywords that meet business needs from the product titles under the jurisdiction of the platform and store them in the search dictionary, so that the platform can provide online shopping services to platform users by calling the library, for example, Provide product association services for users when searching for products, provide corresponding products and user portraits for users when placing advertisements, and provide product recommendation services for users, etc., but when the platform extracts new keywords or replaces other keywords When using the keyword extraction algorithm, it is only possible to replace the full amount of the search term library cons...

AI Technical Summary

Problems solved by technology

[0002] At present, the e-commerce service platform uses the keyword extraction algorithm to extract keywords that meet business needs from the product titles under the jurisdiction of the platform and store them in the search dictionary, so that the platform can provide online shopping services to platform users by calling the library, for example, Provide product association services for users when searching for products, provide corresponding products and user portraits for users when placing advertisements, and provide product recommendation services for users, etc., but when the platform extracts new keywords or replaces other keywords When using the keyword extraction algorithm, it is only possible to replace the full amount of the search term library constructed by the platform. As we all know, the data operation of full update is quite time-consuming, and the response of e-commerce services is often in milliseconds, and the platform needs to Respond to multiple interactions. In this process, once the search word library is replaced, because it takes a long time, it may cause errors in obtaining data for platform interaction events, causing platform users to be unable to use related services, resulting in poor online shopping experience for users. Affect the revenue of the platform

Images