Clustering algorithm and local sensing reconstruction model-based author recommendation method and system

A technology of reconstructing models and clustering algorithms, which is applied to computer components, character and pattern recognition, computing, etc., can solve the problems of ignoring the spatial distribution information of words, and it is difficult to distinguish between two samples of spatial distribution of words.

Active Publication Date: 2018-08-21
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
View PDF7 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this type of method only relies on the word frequency statistics of words in the text, and ignores the spatial distribution information of w

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
  • Clustering algorithm and local sensing reconstruction model-based author recommendation method and system
  • Clustering algorithm and local sensing reconstruction model-based author recommendation method and system
  • Clustering algorithm and local sensing reconstruction model-based author recommendation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0064] Research on author recommendation system based on clustering algorithm and local perceptual reconstruction model of the present invention. The main innovative work of the present invention is the following six parts: 1) tree structure expression module; 2) node feature expression module; 3) hierarchical node position mapping module; 4) local perception reconstruction model; 5) tree structure Unified vector representation; 6) Content-based author recommendation and retrieval. The first part is to organize the relevant information of the author, and organize the relevant information of the au...

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 a clustering algorithm and local sensing reconstruction model-based author recommendation method and system. According to the method and system, author information expressed bya tree structure is converted to be expressed by a uniform vector through tree structure expression of author related information, feature expression of nodes, position mapping of hierarchical nodesand establishment of a local sensing reconstruction model; the vector comprises the author related information and structure information of author related layers; and furthermore, related author recommendation and retrieval is carried out according to uniform vector expression of author information. The method comprises the following steps of: A, tree structure expression; B, node feature expression; C, hierarchical node position mapping; D, local sensing reconstruction model establishment and solution; E, uniform vector expression of a tree structure; and F, content-based author recommendation and retrieval.

Description

technical field [0001] The present invention belongs to the field of text mining and recommendation systems, organizes heterogeneous information data into a tree structure according to its internal logic structure, and realizes an effective tree structure vector representation through clustering at each level and local perceptual reconstruction models. The method and system use the most original input of author information from different domains. Background technique [0002] With the continuous advancement and development of Internet technology, the scale of network data is increasing day by day. The source of data and the organizational form of data are diverse according to different application scenarios. For each user, the data sources related to it are diverse. If these data can be effectively organized, extracted, and fused, a more comprehensive information representation related to the user can be finally obtained. For example, for a certain author, data from differ...

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): G06F17/30G06K9/62
CPCG06F16/337G06F16/355G06F18/23213G06F18/2135
Inventor 张海军王双
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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