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List page retrieval downgrade method, apparatus, electronic equipment and storage medium

A list page and access list technology, applied in the field of information processing, can solve the problems of huge downgraded storage and low hit rate, and achieve the effect of improving reliability

Active Publication Date: 2021-09-17
KE COM (BEIJING) TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] A commonly used downgrade solution is to cache search results according to the retrieval conditions, but this solution requires a huge amount of downgrade storage, otherwise the hit rate is very low

Method used

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  • List page retrieval downgrade method, apparatus, electronic equipment and storage medium
  • List page retrieval downgrade method, apparatus, electronic equipment and storage medium
  • List page retrieval downgrade method, apparatus, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] see figure 1 , figure 1 It is a schematic diagram of the list page search and downgrade process in Embodiment 1 of the present application. The specific steps are:

[0054] Step 101, when obtaining the filtering conditions entered by the user when accessing the list page, converting the filtering conditions into retrieval conditions conforming to the syntax definition of the search engine.

[0055] Filter criteria entered by the user, including filter categories.

[0056] Taking the filtering conditions of the second-hand housing list and the search engine Elasticsearch as an example, an example of converting the filtering conditions into retrieval conditions is given.

[0057] Assume that there are four filter categories price, area, bedroom, label.

[0058] The price is a preset range, such as within 1 million, 1 million to 2 million, 2 million to 3 million, and more than 3 million. The corresponding search conditions are [0, 100], [100, 200], [200, 300], [300, *...

Embodiment 2

[0074] see figure 2 , figure 2 It is a schematic diagram of the list page search and downgrade process in the second embodiment of the present application. The specific steps are:

[0075] Step 201, when obtaining the filtering conditions entered by the user when accessing the list page, converting the filtering conditions into retrieval conditions conforming to the syntax definition of the search engine.

[0076] Filter criteria entered by the user, including filter categories.

[0077] Taking the filtering conditions of the second-hand housing list and the search engine Elasticsearch as an example, an example of converting the filtering conditions into retrieval conditions is given.

[0078] Assume that there are four filter categories price, area, bedroom, label.

[0079] The price is a preset range, such as within 1 million, 1 million to 2 million, 2 million to 3 million, and more than 3 million. The corresponding search conditions are [0, 100], [100, 200], [200, 300...

Embodiment 3

[0098] see image 3 , image 3 It is a schematic diagram of the list page search and downgrade process in Embodiment 3 of the present application. The specific steps are:

[0099] Step 301, when obtaining the filtering conditions entered by the user when accessing the list page, converting the filtering conditions into retrieval conditions conforming to the syntax definition of the search engine.

[0100] Step 302, perform retrieval using the retrieval condition.

[0101] Step 303, if the primary key of the entity is not retrieved, and the search condition includes a qualifier, delete the qualifier, and then perform a search in the degraded database.

[0102] The qualifiers are: search terms, and / or functional qualifiers.

[0103] When the user inputs the filtering conditions, in addition to inputting the selected filtering type, he can also input search words, select functional qualifiers, and so on.

[0104] When such filter conditions are converted into search conditions...

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Abstract

The present application provides a list page search and downgrade method, device, electronic equipment and storage medium. The method includes: when obtaining the filtering conditions entered by the user to access the list page, converting the filtering conditions into retrieval conditions conforming to the syntax definition of the search engine; using the retrieval conditions to perform retrieval; if the primary key of the entity is not retrieved, deleting the A search term in the search condition is searched in the degraded database. If the primary key of the entity is not retrieved, delete a search term in the search condition again, and search again in the degraded database until it retrieves The primary key of the entity; use the retrieved primary key of the entity to query the entity data in the degraded database; output the queried entity data. The method can improve the reliability of the degraded retrieval of the list page.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a list page retrieval downgrade method, device, electronic equipment and storage medium. Background technique [0002] The list page is a function to display entities to users in batches according to specific retrieval and search conditions. Generally, search engines such as solr and Elasticsearch are used to build indexes, and specific retrieval syntax is used for retrieval, and the data source corresponding to the entity is used to assemble the necessary data. , and finally displayed to the user. [0003] Generally speaking, the stability of the search system has high requirements. When the index is abnormal, the downgrade solution is very important. [0004] A commonly used downgrade solution is to cache search results according to retrieval conditions, but this solution requires a huge amount of downgrade storage, otherwise the hit rate is very low. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9532G06F16/951G06Q30/06G06Q50/16
CPCG06Q30/0627G06Q50/16G06F16/951G06F16/9532
Inventor 夏云
Owner KE COM (BEIJING) TECHNOLOGY CO LTD