Thesis recommendation method based on multilayer drawing

A recommendation method and multi-layer graph technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as no dependencies are taken into account

Active Publication Date: 2014-03-19
NANJING UNIV
View PDF3 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There may be dependencies between these heterogeneous features, but previous methods did not take these dependencies of heterogeneous features into account

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
  • Thesis recommendation method based on multilayer drawing
  • Thesis recommendation method based on multilayer drawing
  • Thesis recommendation method based on multilayer drawing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0115] Algorithms used in the present invention are all written and realized by python language. The model used in the experiment is: Intel(R) Core(TM) i3-3220 processor, the main frequency is 3.30G HZ, and the memory is 4G.

[0116] More specifically, as Figure 5 As shown, the present invention operates as follows:

[0117] 1. Construct a paper graph: use the target paper and candidate papers as nodes in the graph, and construct a paper graph according to the citation relationship between the target paper and candidate papers and between candidate papers.

[0118]2. Build a keyword map: use the word weight calculation method to calculate the weight of the words in the paper, remove the words whose weight is less than the threshold, and use the remaining words as keywords, each word as a node, and build keywords with the help of semantic dictionary information Feature map G 1 (V, E).

[0119] 3. Construct a multi-layer map: combine the paper map and keyword feature map ac...

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 provides a thesis recommendation method based on a multilayer drawing, which comprises the following steps: Step I, taking a target thesis and candidate theses as nodes in the drawing, constructing a thesis drawing according to reference relationships among the target thesis and the candidate theses and among the candidate theses; Step II, calculating weights of words in the theses by a word weight calculation method, removing the words with the weights less than a threshold, taking the rest words as the nodes, constructing a keyword feature map by virtue of semantic dictionary information; Step III, formulating a target equation by a similarity learning method based on the multilayer drawing; and Step V, optimizing a target function by a heuristic search algorithm of the map, updating weights of sides in the multilayer drawing, and recommending the thesis according to a final multilayer drawing result. The method allows a computer to be capable of recommending the target thesis according to the interested theses read or marked by a user.

Description

technical field [0001] The invention relates to the field of computer text mining, in particular to a method for recommending computer papers. Background technique [0002] With the rapid increase of the amount of information in today's world and the continuous achievements of scientific research, today's electronic library has more and more papers from various journals or conferences. In order to find papers related to their work better and faster, people's demand for the accuracy of paper search is increasing. Paper recommendation is to recommend a group of papers to users based on the user's research direction or based on the papers they have read in the past. In recent years, there are generally three methods for a paper recommendation task: the first is based on the citation information between papers, and the correlation score between papers is calculated according to the number of commonly cited papers; the second is based on the content information of papers , firs...

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): G06F17/30G06F17/27
CPCG06F16/3322G06F16/334G06F16/367
Inventor 戴新宇潘林林陈家骏黄书剑
Owner NANJING UNIV
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