Putting area determination method and device, model training method and storage medium

A region determination and region technology, applied in the Internet field, can solve the problems of many constraints, time-consuming, and efficiency that is difficult to meet the needs of industrial applications, and achieve the effect of simplifying the determination process and improving efficiency.

Active Publication Date: 2020-06-02
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the site selection method in related technologies needs to train a model that can be used to score candidate areas, or requires experts’ prior knowledge to specify scientific and accurate quantitative evaluati

Method used

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  • Putting area determination method and device, model training method and storage medium
  • Putting area determination method and device, model training method and storage medium
  • Putting area determination method and device, model training method and storage medium

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Embodiment Construction

[0041] In order to make the purpose, technical solutions and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings. All other embodiments obtained under the premise of creative labor belong to the scope of protection of this application.

[0042] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict. Unless otherwise defined, all technical and scientific terms used in the embodiments of the present application have the same meaning as commonly understood by those skilled in the technical field of the embodiments of the present application. The terms used in the embodiments of the present application are only for the purpose of describing the embodiments of the pres...

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Abstract

The embodiment of the invention provides a delivery area determination method and device, a similarity model training method and a storage medium. The method comprises the steps of performing featureextraction on each candidate region in a candidate region set to obtain a first feature vector of each candidate region, and performing feature extraction on each released region in a released regionset to obtain a second feature vector of each released region; for each candidate region, determining a plurality of similarities of a plurality of region pairs formed between the corresponding candidate region and each released region according to the first feature vector and the second feature vector; determining a target region pair according to the similarity, and determining a prediction score corresponding to the candidate region according to a preset score of a released region in the target region pair; and determining a target delivery area for the delivery object according to the prediction score corresponding to each candidate area. According to the invention, the determination process of the delivery area can be simplified, and the efficiency of determining the delivery area isimproved.

Description

technical field [0001] The embodiment of the present application relates to the technical field of the Internet, and relates to but not limited to a method and device for determining a delivery area, a method for training a similarity model, and a storage medium. Background technique [0002] Merchant location selection, vending machine location selection, and offline advertising are very common in the commercial field. For merchants, choosing the right investment area can obtain ideal customer acquisition channels and target groups, thereby directly stimulating and driving products and businesses. revenue growth. [0003] In related technologies, when determining the delivery area, a regression classification model is usually established based on the target value data for classification and site selection, or a deep learning model is built to score the area to achieve site selection, or a clustering model is used for site selection. [0004] However, the site selection met...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0205G06F18/231G06F18/22G06F18/23213G06F18/214
Inventor 刘志煌
Owner TENCENT TECH (SHENZHEN) CO LTD
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