Resource recommendation method and device

A technology for recommending methods and resources, applied in the Internet field, can solve the problems of lack, general recommendation effect, strong dependence on user portraits, etc.

Active Publication Date: 2020-10-23
BEIJING QIYI CENTURY SCI & TECH CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with the traditional manual operation method, this artificial intelligence method has stronger personalization, better diversity and better data effects; however, a defect of this method is the strong dependence on user portraits , only by establishing rich user portrait information and completely describing the attributes of each dimension of the user can we provide users with personalized results more accurately
For a brand-new user, due to the lack of sufficient user behavior, the dimensions of the user portrait are obviously insufficient, and it is impossible to completely describe this type of user, resulting in a relatively general recommendation effect for this cold-start user group

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
  • Resource recommendation method and device
  • Resource recommendation method and device
  • Resource recommendation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0052] see figure 1 , is a flow chart of a resource recommendation method provided by an embodiment of the present invention, the method includes:

[0053] S101: When a user's recommendation request for a target resource set is received, read a decision tree file pre-established for the target resource set in real time.

[0054] The target resource set refers to a set including multiple target resources. For example, for a video playing website, the target resource set may be a large number of video resources. How to make personalized recommendations to users among massive video resources, especially for new users who have no interest records, the embodiment of the present invention proposes to make resource recommendations base...

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 present invention provides a resource recommendation method and device, wherein the method includes: when receiving a user's recommendation request for a target resource set, reading in real time a decision tree file pre-established for the target resource set; tree file to determine the recommendation probability of the user at each node of the decision tree, wherein the recommendation probability of each node is obtained based on the expected income of each node and the confidence interval of the user in the decision tree; according to the The recommendation probability of each node determines the recommendation topic. The embodiment of the present invention can accurately recommend resources for new users based on the decision tree.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a resource recommendation method and device. Background technique [0002] With the development of artificial intelligence (AI) technology, more and more fields use AI technology to provide services for users. A common personalized recommendation framework for network resources (such as video resources) is: construct user portraits through user behavior, extract features, and use algorithm models to provide users with a set of sorted recommendation lists. Compared with the traditional manual operation method, this artificial intelligence method has stronger personalization, better diversity and better data effects; however, a defect of this method is the strong dependence on user portraits , only by establishing rich user portrait information and completely describing the attributes of each dimension of the user can it provide users with more accurate personalized r...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/2458G06K9/62
CPCG06F18/24323
Inventor 查强宋华王志华
Owner BEIJING QIYI CENTURY 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
Try Eureka
PatSnap group products