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Method, device and equipment for evaluating search performance and readable storage medium

A performance and target search technology, applied in the field of search evaluation, can solve the problems of evaluation bias, inaccurate evaluation results, and failure to consider other factors, and achieve the effect of accurate evaluation

Pending Publication Date: 2021-07-02
GLODON CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the field of engineering and construction, when designers design architectural models, they usually use model components for modeling. Finding model components through search engines is a very important part of design modeling. Therefore, whether search engines can find accurate, Appropriate model components are particularly important; currently, the Cranfield evaluation system is usually used to evaluate the search performance of search engines; in the Cranfield evaluation system, the two indicators of Precision accuracy and Recall recall are used to evaluate the search performance of search engines. evaluation; however, the Precision and Recall indicators are only calculated based on the actual search results corresponding to the search conditions and the correct search results, and do not take into account other factors; if only the existing Precision and Recall indicators are used to evaluate search performance, There will be evaluation bias, resulting in inaccurate evaluation results

Method used

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  • Method, device and equipment for evaluating search performance and readable storage medium
  • Method, device and equipment for evaluating search performance and readable storage medium
  • Method, device and equipment for evaluating search performance and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Embodiments of the present invention provide a method for evaluating search performance, which is applied to cloud servers, such as figure 1 As shown, the method specifically includes the following steps:

[0054]Step S101: Obtain the derived behavior data of the target user with respect to the target search condition within a set period of time; wherein, the derived behavior data is the behavior data triggered by the user based on the search result corresponding to the search condition.

[0055] Wherein, the target users may be all users who use the search engine within the set time period, or may be a set number of users or users with specific characteristics.

[0056] The target search condition is a search formula and / or filter condition triggered by a user when using a search engine. It should be noted that the target search condition in this embodiment is only a form of search condition. For example, in a search engine for searching building components, the targ...

Embodiment 2

[0120] An embodiment of the present invention provides a device for evaluating search performance, such as figure 2 As shown, the device specifically includes the following components:

[0121] The obtaining module 201 is used to obtain the derived behavior data of the target user for the target search condition within a set period of time; wherein, the derived behavior data is the behavior data triggered by the user based on the search result corresponding to the search condition;

[0122] Preferably, the derived behavior data includes at least one of the following behavior types: viewing behavior, collection behavior, downloading behavior, usage behavior, forwarding behavior;

[0123] The classification module 202 is used to classify and count all the derived behavior data obtained according to the behavior type, and calculate the search accuracy rate for the target search condition according to the classification and statistical results;

[0124] A calculation module 203,...

Embodiment 3

[0151] This embodiment also provides a computer device, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a rack server, a blade server, a tower server, or a cabinet server (including an independent server, or A server cluster composed of multiple servers), etc. Such as image 3 As shown, the computer device 30 in this embodiment at least includes but is not limited to: a memory 301 and a processor 302 that can be communicated with each other through a system bus. It should be pointed out that, image 3 Only computer device 30 is shown having components 301-302, but it should be understood that implementing all of the illustrated components is not a requirement and that more or fewer components may instead be implemented.

[0152] In this embodiment, the memory 301 (that is, a readable storage medium) includes a flash memory, a hard disk, a multimedia card, a card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), s...

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PUM

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Abstract

The invention discloses a method, a device and equipment for evaluating search performance and a readable storage medium. The method comprises the following steps: acquiring derivative behavior data of a target user aiming at a target search condition within a set time period, wherein the derivative behavior data is behavior data triggered by the user based on a search result corresponding to the search condition; performing classified statistics on all the obtained derivative behavior data according to behavior types, and calculating search accuracy for the target search condition according to a classified statistics result; obtaining a total number of search results corresponding to the target search condition, and calculating a search recall rate for the target search condition according to the total number of the search results and the search accuracy; according to the search accuracy rate and the search recall rate, evaluating the search performance corresponding to the target search condition. According to the method, the search performance can be evaluated in a deeper, more comprehensive and more accurate manner.

Description

technical field [0001] The present invention relates to the technical field of search evaluation, in particular to a method, device, equipment and readable storage medium for evaluating search performance. Background technique [0002] In the field of engineering and construction, when designers design architectural models, they usually use model components for modeling. Finding model components through search engines is a very important part of design modeling. Therefore, whether search engines can find accurate, Appropriate model components are particularly important; currently, the Cranfield evaluation system is usually used to evaluate the search performance of search engines; in the Cranfield evaluation system, the two indicators of Precision accuracy and Recall recall are used to evaluate the search performance of search engines. evaluation; however, the Precision and Recall indicators are only calculated based on the actual search results corresponding to the search c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/957
CPCG06F16/9535G06F16/9574Y02D10/00
Inventor 刘佳赵顺
Owner GLODON CO LTD