Data search accuracy verification method, device and equipment and computer readable medium

Abstract

The invention discloses a data search accuracy verification method, device and equipment and a computer readable medium, and belongs to the technical field of testing. The method comprises the following steps: acquiring a search keyword; determining at least one related dimension for the search keyword; matching a verification rule for the search keyword according to the related dimension; and verifying the accuracy of a search result corresponding to the search keyword according to the verification rule. According to the method, the related dimensions are matched for the search keywords, the verification rule is determined through the related dimensions, accuracy verification can be carried out on each search result corresponding to the search keywords from the multiple related dimensions, the accuracy of the search results is comprehensively evaluated, and the search test function is more flexible and expandable.

Description

technical field [0001] The present invention relates to the technical field of testing, in particular to a data search accuracy verification method, device, equipment and computer readable medium. Background technique [0002] The e-commerce operation application is established based on a complex data search system. Users obtain feedback product information through input keywords, and select their favorite products from them. It can be seen that data search plays a vital role in e-commerce operations, and the accuracy of search results directly affects user experience and product sales, so data search must be verified and evaluated. [0003] The verification of data search in the prior art often adopts the A / B test method. The so-called A / B test method uses a separate group experiment, formulates two plans for the same target, and evaluates the plans by comparing the experimental results. For example, set up two pages for the same type of product marketing, let some users u...

AI Technical Summary

Problems solved by technology

Therefore, the A / B test method requires real traffic for verification and evaluation. Due to the use of real traffic, the amount of data required is huge, which increases the complexity of data search and verification work.

In addition, the existing A / B testing method can only obtain data such as sales volume and conversion rate. These two aspects cannot directly reflect the correlation between input keywords and search results, and it is difficult to evaluate the accuracy of data search.

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