Real-time hot spot detection method used for published status of network users

A detection method and network user technology, applied in the field of social network applications, can solve the problems of weak practicability and high complexity of hotspot detection, and achieve the effect of enhancing practicability, reducing algorithm complexity, and high accuracy

Inactive Publication Date: 2014-04-16
BEIJING OAK PACIFIC NETSCAPE TECH DEV +1
View PDF6 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] All in all, in the prior art, hotspot detection has high complexity and weak

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
  • Real-time hot spot detection method used for published status of network users
  • Real-time hot spot detection method used for published status of network users
  • Real-time hot spot detection method used for published status of network users

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0023] Combine below figure 1 To illustrate the real-time hotspot detection scheme for network user posting status according to the embodiment of the present invention.

[0024] In step S102, hot words are detected according to the frequency of occurrence of words in the state posted by the user. When a jump in the frequency of occurrence of a word per unit time is detected, the word is recognized as a hot word. Preferably, the impact energy as a function of the frequency of occurrence of the word is calculated, and when the impact energy is greater than a threshold value, it is determined that a jump occurs. The impact energy can be calculated within a time window of a predetermined length of time.

[0025] In step S104, multiple keywords most related to the hot words are calculated. Preferably, the degree of relevance is calculated as a function of the state set containing hot words and the state set containing other words, and multiple other words with the highest degree of re...

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 relates to a real-time hot spot detection method used for the published status of network users. The method includes the steps that hot words are detected according to the frequency of occurrence of words in the status published by the users, and a word is recognized as a hot word when the frequency of occurrence of the word changes in a hopped mode in unit time; a plurality key words most relevant to the hot words are calculated; the multiple key words converge into hot pots. By the application of the real-time hot spot detection method used for the published status of the network users, the complexity of an algorithm can be reduced, the practicability can be enhanced, and a large amount of data can be calculated in real time; according to the characteristics in the social network, the detected hot pots can be automatically classified through some available exclusive characteristics of the social network, and a high accuracy rate and good effects are achieved.

Description

technical field [0001] The invention relates to social network applications, and more particularly, to a real-time hotspot detection method for network users' posting status. Background technique [0002] In the past few years, the concept of social network has gradually become familiar to people. The scale of social network platforms has grown rapidly, and the service functions they provide have become more and more abundant. The discovery and recommendation of hot events and hot topics has become a common feature of almost all social network platforms. main function of . At present, the industry's strategy for hotspot discovery is relatively rough, and the effect in meeting the diverse needs of users is mediocre. [0003] "Research on Microblog Hot Topic Discovery Strategies" (Yang Guanchao, Zhejiang University) started from the current academic research on some phenomena on the microblog platform and the current methods of solving hot topic discovery, summarizing previou...

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): G06F17/30
CPCG06F16/95
Inventor 杨晓勇
Owner BEIJING OAK PACIFIC NETSCAPE TECH DEV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap