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Scenarized merchant recall method and device, electronic equipment and readable storage medium

A business and scene technology, applied in business, electrical digital data processing, instruments, etc., to improve adaptability, reduce time and labor costs, and take into account precision and recall.

Pending Publication Date: 2019-05-28
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a scene-based merchant recall method, device, electronic equipment and readable storage medium to partially or completely solve the above-mentioned problems related to the merchant recall process in the prior art

Method used

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  • Scenarized merchant recall method and device, electronic equipment and readable storage medium
  • Scenarized merchant recall method and device, electronic equipment and readable storage medium
  • Scenarized merchant recall method and device, electronic equipment and readable storage medium

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Embodiment 1

[0028] A scene-based merchant recall method provided by the embodiment of the present invention is introduced in detail.

[0029] refer to figure 1 , shows a flow chart of the steps of a scenario-based merchant recall method in an embodiment of the present invention.

[0030] Step 110, acquire a given scene word, and expand the given scene word into a keyword set including N words, where N is a natural number.

[0031] In practical applications, if merchants are recalled directly based on given scene words, the recall rate is low. Therefore, in the embodiment of the present invention, in order to improve the recall rate, after the given scene words are acquired, the given scene words may be expanded into a keyword set including N words. Wherein, N is a natural number. Generally speaking, a given scene word for the same scene may specifically include at least one word, and the specific value of N may be preset according to requirements, which is not limited in this embodimen...

Embodiment 2

[0064] A scene-based merchant recall method provided by the embodiment of the present invention is introduced in detail.

[0065] refer to figure 2 , shows a flow chart of the steps of a scenario-based merchant recall method in an embodiment of the present invention.

[0066] Step 210, train the LDA model through the pre-selected high-quality merchant reviews and generate a word-topic matrix.

[0067] In order to be able to generate high-precision and high-recall results, it is first necessary to describe the given scene from all directions, and it is necessary to expand the given scene words into a set of keywords with relevance weights, so we chose to consider the global context and divergence Stronger LDA (Latent Dirichlet Allocation) model. The LDA model is a document topic generation model, also known as a three-layer Bayesian probability model, which includes a three-layer structure of words, topics, and documents. Then, the corresponding word-topic matrix can be gen...

Embodiment 3

[0170] A scene-based merchant recall device provided by an embodiment of the present invention is introduced in detail.

[0171] refer to image 3 , shows a schematic structural diagram of a scenario-based merchant recall device in an embodiment of the present invention.

[0172] Keyword set expansion module 310, is used for obtaining given scene word, and described given scene word is expanded into the keyword set that comprises N words, and N is a natural number;

[0173]An initial seed merchant determining module 320, configured to determine an initial seed merchant from platform merchants based on each keyword in the keyword set;

[0174] A high-precision seed merchant determination module 330, configured to filter the initial seed merchants according to the set of keywords to obtain high-precision seed merchants;

[0175] The final recall merchant confirmation module 340 is configured to determine the final recall merchant of the given scene word according to the high-p...

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Abstract

The invention discloses a scenarized merchant recall method and device, electronic equipment and a readable storage medium. The method comprises the steps that given scene words are acquired, the given scene words are expanded into a keyword set containing N words, and N is a natural number; an initial seed merchant is determined from platform merchants based on each keyword in the keyword set; the initial seed merchant is filtered according to the keyword set to obtain a high-precision seed merchant; and a final recall merchant of the given scene word is determined according to the high-precision seed merchant. Therefore, the technical problems that an existing scenarized merchant recall method is high in labor cost and time cost, cannot give consideration to both precision and recall rate and is not high in adaptability are solved. And the beneficial effects of reducing the time cost and the labor cost and improving the recall precision and the recall rate are achieved.

Description

technical field [0001] The present invention relates to the technical field of data mining, in particular to a scenario-based merchant recall method, device, electronic equipment and a readable storage medium. Background technique [0002] Merchant recall is an important issue in Internet models such as O2O (Online To Offline, Online to Offline / Online to Offline). Among them, scenario-based merchant recall is based on different scenarios to classify and recall merchants settled on the Internet platform, which can achieve better management of merchants. In the existing scenario-based merchant recall related technologies, supervised learning methods are generally used to convert the acquisition of the correlation between items and each scene into classification tasks, and the probability of belonging to each scene category is used as the correlation between the merchant and the scene; Or, through unsupervised learning methods, such as by directly representing the item text an...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06Q30/00
CPCG06F16/9535G06Q30/00
Inventor 阎晗杨涵
Owner BEIJING SANKUAI ONLINE TECH CO LTD
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