Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

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
View PDF4 Cites 8 Cited by
  • 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 recommendation methods can no longer meet the personalized needs of users.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Embodiment 1

[0032] figure 1 It is a flow chart of an information recommendation method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of recommending target item information to target users. Typically, this embodiment is applicable to the situation of recommending credit cards to new users according to historical behaviors of historical users. The method can be executed by an information recommending device, and the device can be realized 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] Wherein, the user feature refers to the attribute feature of the user. 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 user to be reco...

Embodiment 2

[0059] figure 2 It is a flowchart of an information recommendation method provided in Embodiment 2 of the present invention. This embodiment is an optional solution proposed based on the foregoing embodiments, taking the target item as an example of a credit card. 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. Using 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 reference user's historical credit card behavior, the target user's bank preference, and the similarity between the reference user and the target user.

[0063] Wherein, the determination of the bank preference of the target user includes:

[0064] According to at ...

Embodiment 3

[0071] image 3 It is a flow chart of an information recommendation method provided by Embodiment 3 of the present invention. This embodiment is an optional solution based on the above embodiments, 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 above-mentioned historical users) according to user characteristics.

[0073] Specifically, the current application is an application for handling bank cards.

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

[0075] S330. Recall the historical behavior records of the reference user.

[0076] Wherein, t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com