Method, device and equipment for determining search result and readable storage medium

Abstract

The invention provides a method and device for determining a search result, equipment and a readable storage medium. The method for determining the search result comprises the steps of obtaining at least one search candidate result based on a search keyword; for each search candidate result in the at least one search candidate result, determining the similarity between the search candidate resultand a search keyword, and determining the search candidate result as the search result under the condition that the similarity between the search candidate result and the search keyword meets a similarity condition, wherein the step of determining the similarity between the search candidate result and the search keyword comprises the step of determining the entity similarity between the entity keyword in the search candidate result and the entity keyword in the search keyword.

Description

technical field [0001] The present disclosure relates to the field of search technologies, and in particular to a method, device, device and readable storage medium for determining search results. Background technique [0002] With the rapid development of the Internet, the amount of network data continues to increase, and users can use search technology to find desired information based on search keywords. The search results obtained based on the search keywords can be applied in many application scenarios, such as finding merchant locations, information retrieval, and so on. Accurate search results help to find the information users want more quickly from massive data. However, the existing methods for determining search results only focus on the textual similarity between search keywords and search results, or determine search results based on historical search data, for example, use user satisfaction to evaluate search results, Taking the search result with the highest...

AI Technical Summary

Problems solved by technology

However, the existing methods for determining search results only focus on the textual similarity between search keywords and search results, or determine search results based on historical search data, for example, using user satisfaction to evaluate search results, The search result with the highest user satisfaction is taken as the final search result, which makes the accuracy of the search result low, and even fails to provide information that meets the user's search expectations, which reduces the user experience

Images