Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Inter-object influence inference method fusing external events

A technology between external events and objects, applied in reasoning methods, instruments, data processing applications, etc., can solve problems such as biased inference results, and achieve the effect of solving challenges, overcoming problems, and making complex decisions

Pending Publication Date: 2022-03-25
SHENZHEN SECURITIES COMM
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the strength of the relationship is not only related to the similarity of attributes, but also related to the functional characteristics of the relationship (functional complementarity, weak connection). Ignoring the information related to the competitive advantages of such groups will lead to biased inference results

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
  • Inter-object influence inference method fusing external events
  • Inter-object influence inference method fusing external events
  • Inter-object influence inference method fusing external events

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] The present invention proposes a generalized relationship strength inference framework gStrength (Generalized Relationship Strength Inference), which quantifies the relationship (influence) strength between objects in a weakly supervised learning manner. This chapter proposes a generalized role-constrained topic model, which makes the extracted latent topic feature attributes compatible (consistent) with practical applications. Second, it is further extended to structural features to model the relationship strength, making the results more reliable.

[0036] New task - Starting from practical applications, a new task of inferring influence between objects that incorporates external events is proposed. "Weakly connected" sociological theories are modeled by extracting topic distributions (functional latent attribute distributions) of external events.

[0037] New Approach - Proposed method for inter-object influence inference combining two generative processes and one d...

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 invention discloses an inter-object influence inference method fusing external events, which is used for fusing category information of objects into R based on online event generation of potential function characteristic attributes, and the category information is regarded as a special role R and is defined as a generalized role R; each relation can represent the potential function distribution through the distribution on the R; on the basis of off-line relation generation of relation strength and auxiliary information, it is assumed that the relation strength Z also partially depends on the structural dependency feature of the relation strength Z, and potential functional feature attributes are combined with network structural features. According to the method, the macro benefit of the big data is fully utilized, the challenge of the big data is solved, the problems of data existence and decision complexity are effectively solved, the problem that semantic information of the online events and the semantic information of the offline interaction relation are not completely consistent can be solved, and the situation that all the online events play a role in the offline interaction relation is avoided.

Description

technical field [0001] The invention relates to a method for inferring influence between objects by integrating external events, which belongs to the field of big data application technology, and involves big data technical methods such as link prediction, hidden variable generation model, and "weak connection" sociological theoretical modeling. Background technique [0002] Link mining / analysis, such as link existence prediction between objects, is an important social network mining task. However, most of the existing research on link prediction is limited to two states of a link—presence and absence. Different from traditional link prediction tasks, this chapter focuses on relationship (link) strength estimation, emphasizing the quantification of specific relationship strength (the degree of stability of existence) from a given link binary state (existence yes, no). Effectively inferring the relationship strength between objects can bring huge benefits, especially in the ...

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 Applications(China)
IPC IPC(8): G06N5/04G06Q50/00
CPCG06N5/041G06Q50/01
Inventor 宋江义廖倡陈友清陈小泉
Owner SHENZHEN SECURITIES COMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products