Keyword updating method, device, computer equipment and storage medium

Abstract

The present application discloses a keyword updating method, device, computer equipment and storage medium, including: determining the corresponding change data according to the characteristic information of the change data source in the material database carried by the external notification message, and determining the corresponding change data according to the external notification message The change type of the changed data source carried in the index data table correspondingly updates the characteristic information of the changed data source in the index data table and the mapping relationship data formed by the changed data; constructs the operation expression according to the difference information reflected before and after the index data table is updated; executes the operation Expression, according to the type of difference in the operation expression, perform corresponding type of data update on the cache data table; count the total number of keywords in the cache data table mapped by different feature information, and execute on the keyword list according to the judgment event of the total number renew. When this application is faced with a large number of keyword updates, it only needs to modify the mapping relationship data in each data table to efficiently complete the difference update without data replacement or reconstruction.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of e-commerce, and in particular, to a keyword updating method, apparatus, 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 the business needs from the product titles under the jurisdiction of the platform and store them in the search thesaurus, so that the platform can provide online shopping services to platform users by calling the database. For example, When searching for products for users, provide product association services, when advertising for users, provide corresponding products and user portraits, and provide users with product recommendation services, etc., but when the platform extracts new keywords or replaces other In the keyword extraction algorithm, it is only possible to replace the entire search thesaurus that has been constructed o...

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

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