Information recommendation method, device and equipment and medium

An information recommendation and credit card technology, applied in the information field, can solve problems such as inability to meet the individual needs of users, and achieve the effect of improving accuracy

Inactive Publication Date: 2019-07-23
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because the needs of users tend to be personalized, the above r

Method used

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  • Information recommendation method, device and equipment and medium
  • Information recommendation method, device and equipment and medium
  • Information recommendation method, device and equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0031] Example one

[0032] figure 1 This is a flowchart of an information recommendation method provided by Embodiment 1 of the present invention. This embodiment is applicable to a situation where the target user is recommended for target item information. Typically, this embodiment is applicable to a situation where credit card recommendations are made to new users based on historical behaviors of historical users. The method can be implemented by an information recommendation device, which can be implemented by software and / or hardware. See figure 1 , The information recommendation method provided in this embodiment includes:

[0033] S110: Determine at least one historical user similar to the target user according to user characteristics, as a reference user.

[0034] Among them, user characteristics refer to user attributes. Specifically, it may be at least one of the user's gender, age, interest, city, device information, and bank preference.

[0035] The target user is the...

Example Embodiment

[0058] Example two

[0059] figure 2 It is a flowchart of an information recommendation method provided in the second embodiment of the present invention. This embodiment is an optional solution proposed on the basis of the foregoing embodiment, taking the target item as a credit card as an example. See figure 2 The information recommendation method provided in this embodiment includes:

[0060] S210. Determine at least one historical user similar to the target user according to user characteristics, as a reference user.

[0061] S220: Use the target item associated with the historical behavior of the reference user as a candidate item.

[0062] S230: Determine the weight of the candidate item according to the historical behavior weight, the historical behavior of the reference user on the credit card, the bank preference of the target user, and the similarity between the reference user and the target user.

[0063] Wherein, the determination of the bank preference of the target use...

Example Embodiment

[0070] Example three

[0071] image 3 It is a flowchart of an information recommendation method provided by Embodiment 3 of the present invention. This embodiment is an optional solution proposed on the basis of the foregoing embodiment, taking the target item as a credit card and the target user as a new user as an example. See image 3 , The information recommendation method provided in this embodiment includes:

[0072] S310. If it is detected that a new user enters the current application, calculate the similarity between the new user and the old user (that is, the aforementioned historical user) according to the user characteristics.

[0073] Specifically, the current application is an application for bank card processing.

[0074] S320. Sort the old users according to the similarity, and determine at least one old user with higher similarity to the new user as a reference user according to the sorting result.

[0075] S330. The recall refers to the historical behavior record of...

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PUM

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Abstract

The embodiment of the invention discloses an information recommendation method, device and equipment and a medium, and relates to the technical field of information. The method comprises the followingsteps of determining at least one historical user similar to a target user as a reference user according to the user characteristics; taking the target class article associated with the historical behavior of the reference user as a candidate article; determining the weight of the candidate article according to the historical behavior and historical behavior weight of the reference user on the candidate article and the similarity between the reference user and the target user; and according to the weight of the candidate item, recommending a target item to a target user. According to the information recommendation method, device and equipment and the medium provided by the embodiment of the invention, the personalized recommendation of the credit card information to the user is realized,so that the personalized demand of the user on the credit card is met, and the information recommendation accuracy is further improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of information technology, and in particular, to an information recommendation method, device, device and medium. Background technique [0002] Users handle credit cards with the characteristics of low processing frequency and weak features. Because the processing frequency is low, most of the users facing us are new users. The cold-start recommendation problem caused by the lack of historical information for new users is a difficulty in the entire recommendation field. Weak features mean that it is difficult to make direct recommendations based on user attributes. Cold-start recommendation refers to the inability to recommend credit cards to users based on historical information. [0003] The credit card recommendation method in the existing mainstream card application platforms is more based on the popularity of credit card clicks or the amount of income. However, because the needs of use...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q40/02
CPCG06Q30/0631G06Q40/03G06Q30/0255G06Q30/0254G06Q30/0269G06Q30/0278G06Q20/24G06Q20/354G06Q20/389G06Q20/40
Inventor 王延熇田鹏飞方灵鹏李清周淑萍
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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