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Article alias mining method and system, electronic equipment and readable storage medium

A technology for items and aliases, applied in the field of information processing, can solve problems such as difficulty in accurately locating target items

Pending Publication Date: 2020-01-24
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the defect in the prior art that it is difficult to accurately locate the target item when searching for the search term or its synonyms based solely on semantic analysis when searching for an item, and to provide an item nickname mining method, System, electronic device and readable storage medium

Method used

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  • Article alias mining method and system, electronic equipment and readable storage medium
  • Article alias mining method and system, electronic equipment and readable storage medium
  • Article alias mining method and system, electronic equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0102] A method of item alias mining based on user comments, such as figure 1 As shown, the item alias mining method includes:

[0103] Step 10, reverse association and acquisition of all retrieval keywords of the accessed items within a preset time period;

[0104] Step 20, obtaining the retrieval volume of each retrieval keyword within a preset time period;

[0105] Step 30, judging whether the retrieval amount of each retrieval keyword is greater than a preset threshold, if so, then execute step 40; if not, it means that the retrieval keyword cannot be used as a candidate word for the item;

[0106] Step 40, using search keywords greater than a preset threshold as candidate words;

[0107] Step 50, obtaining the comment data of the item;

[0108] Step 60, for each candidate word, obtain the degree of relevance between the candidate word and the item according to the comment data;

[0109] Step 70, determine whether the degree of association is greater than a preset thre...

Embodiment 2

[0128] The item alias mining method based on user comments in this embodiment is further improved on the basis of Example 1. It is not difficult to understand that if a candidate word appears in a high proportion in the comments of the corresponding model, the words that appear in other comments The proportion is very low, and this candidate word is more likely to refer to this item. Therefore, if Figure 5 As shown, before step 60, the item alias mining method also includes:

[0129] Step 51, obtaining the first search volume of the candidate word within a preset time period;

[0130] Correspondingly, such as Figure 6 As shown, step 64 is replaced with step 64-1 in step 60, specifically including:

[0131] Step 64-1. Obtain the degree of relevance according to the proportion and the first search volume.

[0132] For example, the following formula can be used to calculate the correlation degree:

[0133]

[0134] Among them, a is the total number of comments, b is the ...

Embodiment 3

[0136]The item alias mining method based on user comments in this embodiment is further improved on the basis of Example 1. If the candidate word itself is a rare word but appears a lot in the comments of the item, this word is likely to refer to Substitute this item, such as Figure 7 As shown, before step 60, the item alias mining method also includes:

[0137] Step 52, obtaining the standard name of the item;

[0138] Step 53, obtaining the second search volume of the standard name within a preset time period;

[0139] Correspondingly, such as Figure 8 As shown, step 64 is replaced with step 64-2 in step 60, specifically including:

[0140] Step 64-2, obtain the degree of association according to the proportion, the first search volume and the second search volume.

[0141] For example, the following formula can be used to calculate the correlation degree:

[0142]

[0143] Among them, d is the second search amount;

[0144] In this example, if Figure 9 As shown...

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Abstract

The invention discloses an article alias mining method and system, electronic equipment and a readable storage medium. The article alias mining method comprises the steps of performing reverse association to obtain all retrieval keywords of an accessed article in a preset time period; obtaining the retrieval amount of each retrieval keyword in the preset time period; judging whether the retrievalamount of each retrieval keyword is larger than a preset threshold value, and if so, taking the retrieval keywords larger than the preset threshold value as the candidate words; obtaining comment dataof the article; for each candidate word, obtaining the association degree of the candidate word and the article according to the comment data; and judging whether the association degree is greater than a preset threshold, and if so, taking the candidate words of which the association degree is greater than the preset threshold as another name of the article. According to the article alias miningmethod, the user comments and the user retrieval data are used as mining data sources, and the data cost is low, and the data sources are wide, meanwhile, the data comes from users, and the mining precision is higher, and the user experience is better.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a method, a system, an electronic device and a readable storage medium for mining an item's nickname. Background technique [0002] The common name / abbreviation / alias of the item name refers to the non-standard appellation representing the item name, such as the Canon EF 50mmf / 1.8STM lens commonly known as the small spittoon or 50 fixed, the Audio-Technica ATH-MSR7 earphone commonly known as the stranger’s wife, the iPhone8 mobile phone commonly known as the Apple 8, etc. . For Internet websites, especially comprehensive Internet websites that sell 3C, major appliances and other categories of goods, as well as other categories of goods such as fresh food, the mining of aliases for item names is to correctly understand user intentions and correctly identify them in searches. Basis for recall sorting. [0003] At present, the mining of common abbreviati...

Claims

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Application Information

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IPC IPC(8): G06F16/9535
CPCY02D10/00
Inventor 邝秋鸿邵荣防郝晖欧阳硕谢群群吴扬
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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