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Product selection method and device based on deep learning

A deep learning and deep learning network technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve the problems of low coverage and accuracy, improve coverage and accuracy, and expand training The effect of data

Pending Publication Date: 2021-08-06
BEIJING WODONG TIANJUN INFORMATION TECH CO LTD +1
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Problems solved by technology

However, the coverage and accuracy of these selection schemes are low

Method used

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  • Product selection method and device based on deep learning
  • Product selection method and device based on deep learning
  • Product selection method and device based on deep learning

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Embodiment Construction

[0075] Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding and should be considered as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

[0076] According to an aspect of the embodiments of the present invention, a deep learning-based product selection method is provided.

[0077] figure 1 It is a schematic diagram of the main flow of the method for selecting products based on deep learning in the embodiment of the present invention, such as figure 1 As shown, the product selection method based on deep learnin...

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Abstract

The invention discloses a product selection method and device based on deep learning, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: collecting user behavior data, wherein the user behavior data comprises an article list corresponding to each search term; constructing article pairs according to articles in the article list to obtain an article pair list corresponding to each search term; according to the article pair list corresponding to each search word, constructing an article selection model based on a deep learning network, and performing article selection according to the article selection model. According to the embodiment, the article pairs are constructed, the article selection model is constructed based on the constructed article pairs and the deep learning network, and the articles are selected according to the article selection model, so that model training data can be greatly expanded, and the coverage rate and the accuracy of article selection results are improved.

Description

technical field [0001] The present invention relates to the field of computer technology, and in particular, to a method and device for selecting products based on deep learning. Background technique [0002] The CPS (Cost Per Sales) system often involves massive items. CPS selection is to select and score a large number of CPS items and select the most competitive high-quality hot-selling items. At present, the main methods of CPS selection are: selection based on event registration, data statistics and manual participation, and selection based on shallow learning. However, the coverage and accuracy of these selection schemes are low. SUMMARY OF THE INVENTION [0003] In view of this, embodiments of the present invention provide a deep learning-based product selection method and device, which can greatly improve the coverage and accuracy of product selection results. [0004] In order to achieve the above purpose, according to an aspect of the embodiments of the presen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q30/06G06K9/62G06N3/04G06N3/08
CPCG06F16/9535G06Q30/0631G06N3/08G06N3/045G06F18/24
Inventor 张青青毛锐潘扬
Owner BEIJING WODONG TIANJUN INFORMATION TECH CO LTD
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