Product recommendation method and device

A recommendation method and product technology, applied in the field of big data, can solve problems such as being unable to be recommended by users

Pending Publication Date: 2019-04-05
PING AN TECH (SHENZHEN) 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 invention provides a product recommendation method and device to solve the problem that the existing technology cannot recommend products of interest to users in a targeted manner

Method used

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  • Product recommendation method and device
  • Product recommendation method and device

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Embodiment Construction

[0022] In order to better understand the technical solutions of the present invention, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0023] It should be clear that the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0024] Terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. As used in the embodiments of the present invention and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise.

[0025] It should be understood that the term "an...

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Abstract

The embodiment of the invention provides a product recommendation method and device, and relates to the field of big data, the method comprises the steps: obtaining the activity degree of a user on atarget product in a current time period, and the current time period takes day as a unit; Judging whether the activity degree of the user on the target product in the current time period reaches a preset standard or not; Updating the active days of the user on the target product according to whether the active degree of the user on the target product in the current time period reaches a preset standard or not; And if the number of active days of the user on the target product is increased, pushing the target type of product to the user, the target type being the product type of the target product. Therefore, the technical scheme provided by the embodiment of the invention can solve the problem that the interested product cannot be recommended to the user in a targeted manner in the prior art.

Description

【Technical field】 [0001] The invention relates to the field of big data, in particular to a product recommendation method and device. 【Background technique】 [0002] Internet financial platforms can generally provide a variety of financial products, such as wealth management products, investment products, private equity products, hedge fund products, etc. At present, the Internet financial platform promotes products by sorting products based on indicators such as product clicks, product types, and product importance, and focusing on displaying top-ranked products to users. [0003] The problem with this method is that it is impossible to recommend products of interest to users in a targeted manner. 【Content of invention】 [0004] In view of this, an embodiment of the present invention provides a product recommendation method and device to solve the problem that the prior art cannot recommend products of interest to users in a targeted manner. [0005] On the one hand, an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q40/02G06Q40/06
CPCG06Q30/0255G06Q40/06G06Q40/03
Inventor 乐志能
Owner PING AN TECH (SHENZHEN) CO LTD
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