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Recommendation method and device, equipment and storage medium

A recommendation method and user technology, which is applied in the directions of instruments, commerce, sales/lease transactions, etc., can solve the problems of reducing the accuracy of new product recommendation and the inability of users to recommend new products, so as to achieve strong adaptability and improve economic benefits

Pending Publication Date: 2022-03-25
CHINA PING AN PROPERTY INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present application provides a recommendation method, device, device, and storage medium to solve the problem of being unable to recommend new products to users in a targeted manner when recommending new products in the prior art, which reduces the cost of new product recommendation. problem of accuracy

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  • Recommendation method and device, equipment and storage medium
  • Recommendation method and device, equipment and storage medium
  • Recommendation method and device, equipment and storage medium

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Embodiment Construction

[0048] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0049] In the description of the embodiments of this application, unless otherwise specified, " / " means or, for example, A / B can mean A or B; "and / or" in this article is only a description of the association of associated objects A relationship means that there may be three kinds of relationships, for example, A and / or B means: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "plurality" refers to two or more than two.

[0050] Hereinafter, the terms "first" and "second" are us...

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Abstract

The invention is suitable for the technical field of artificial intelligence, and provides a recommendation method and device, equipment and a storage medium. Comprising the following steps: constructing initial willingness distribution of each user for a new product; recommending a new product to each user for the first time; collecting behavior data of each user on a new product; updating the initial willingness distribution of each user in real time through a UCB algorithm and the behavior data of each user for the new product; and recommending the new product to the target user according to the updating result. According to the recommendation method, the influence of data sparsity of the new product can be avoided, the cost of collecting the data of the new product can be saved, online learning is efficiently carried out by utilizing the UCB algorithm, the new product is recommended to the target user which is really interested in, and the new product is more accurately recommended. And meanwhile, high adaptability of companies to new product release can be realized, the companies can grasp the new market development direction, and the economic benefits of the companies are improved.

Description

technical field [0001] The present application belongs to the technical field of artificial intelligence, and in particular relates to a recommendation method, device, equipment and storage medium. Background technique [0002] With the development of the Internet, products in most industries are now sold online, such as financial products and insurance products. Taking insurance products as an example, when insurance products are sold online, a product recommendation algorithm will be used. The current algorithm generally collects various operation data of the insurance product from users, and recommends insurance products after analyzing these operation data. [0003] However, when a purely new product is launched, the user has not performed any operation on the product, and the collected feature data is sparse, or even no feature data can be collected, which makes it impossible to recommend new products to users in a targeted manner. Reduced accuracy of new product recom...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q40/08
CPCG06Q30/0631G06Q40/08
Inventor 陈雪娇
Owner CHINA PING AN PROPERTY INSURANCE CO LTD