Real-time product recommendation method and device, electronic equipment and readable storage medium

A recommendation method and product technology, which is applied in the direction of electronic digital data processing, instruments, sales/lease transactions, etc., can solve the problems of time-consuming calculation, low recommendation accuracy, and low real-time performance, so as to ensure real-time performance and real-time recommendation The effect of the product

Pending Publication Date: 2021-11-26
KANG JIAN INFORMATION TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the recommendation accuracy of the first method is not high, and the second method has a large amount of data and time-consuming calculation, which is suitable for offline recommendation, and the real-time performance is not high

Method used

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  • Real-time product recommendation method and device, electronic equipment and readable storage medium
  • Real-time product recommendation method and device, electronic equipment and readable storage medium
  • Real-time product recommendation method and device, electronic equipment and readable storage medium

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Embodiment Construction

[0048] The embodiments of the present application may acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .

[0049]Artificial intelligence basic technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, and mechatronics. Artificial intelligence software technology mainly includes computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0050] In order to make the object, technical...

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Abstract

The invention relates to the field of artificial intelligence, and discloses a real-time product recommendation method, which comprises the following steps: determining a text label set corresponding to released text data, and updating a corresponding product label set based on the text label set; constructing a user portrait based on the registration information; obtaining a target text tag set corresponding to the specified text data, updating an interest tag set of the specified user based on the target text tag set, and determining a to-be-recommended product set corresponding to the specified user based on the updated interest tag set; and inputting the target product label set corresponding to each product in the to-be-recommended product set and the target user portrait corresponding to the specified user into a product sorting model to obtain a sorting result of the products in the to-be-recommended product set, and determining a target recommended product based on the sorting result. The invention further provides a real-time product recommendation device, electronic equipment and a readable storage medium. According to the invention, accurate and real-time product recommendation for the user is realized.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a real-time product recommendation method, device, electronic equipment and readable storage medium. Background technique [0002] With the development of science and technology, product development becomes more diversified. How to recommend products of interest to users from among many products is the current focus of attention. [0003] At present, the following two methods are usually used to recommend products to users. Method 1 is to recommend products to users based on preset indicators, such as sales volume and popularity; method 2 is to recommend products to users based on user behavior data. However, the recommendation accuracy of the first method is not high, and the second method has a large amount of data and time-consuming calculation, which is suitable for offline recommendation and has low real-time performance. [0004] Therefore, there is an urgent need fo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06F16/33G06F40/216G06F40/289
CPCG06Q30/0631G06F16/3344G06F16/3346G06F40/216G06F40/289
Inventor 沈彤辉
Owner KANG JIAN INFORMATION TECH (SHENZHEN) CO LTD
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