Author recommendation method based on citation times

A technology of citation counts and recommendation methods, which is applied in the fields of electronic digital data processing, special data processing applications, digital data information retrieval, etc., can solve the problems that cannot reflect the relevance of knowledge inheritance research topics, interfere with recommendation results, etc.

Active Publication Date: 2020-04-28
北京市科学技术情报研究所
View PDF12 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the cooperative relationship is affected by subjective factors. Similar cooperation in non-research fields will interfere with the recommendation result

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
  • Author recommendation method based on citation times
  • Author recommendation method based on citation times
  • Author recommendation method based on citation times

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0052] Such as figure 1 As shown, in this embodiment, the following four steps A to D are specifically included:

[0053] A. Select the range of literature groups in the literature database; the literature includes scientific journals, patents, conference papers, research reports and dissertations;

[0054] B. Construct a literature citation network model based on the mutual citation relationship between the literature in the selected literature group, map and generate the author's citation network, and count the number of golden citations of the literature author;

[0055] In this example, if image 3 As shown, the B step includes constructing a document citation network, and the document citation network model is: G=(V, E), G=(V, E) is composed of |V|=N document nodes and |E|= A directed network composed of M edges; among them, G represents the collection of documents in the document group and the citation relationship between documents, V represents the collection of docu...

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 author recommendation method based on citation times, which comprises the following steps: firstly, selecting a literature group range in a literature database; secondly, constructing a citation network model according to the mutual citation relationship among the literatures in the selected literature group, mapping to generate an author citation network, and counting the gold citation times of the literature authors; secondly, clustering and grouping authors based on the author reference network; and finally, recommending the literature authors to the user according to the gold citation frequency and author clustering grouping sorting. By defining the gold citation times of the literature authors, the self-citation interference of the literature authors is eliminated, the influence of low-quality and low-efficiency citation is weakened, and author clustering division is performed based on the citation relationship between the authors, so a user can quicklyand accurately lock experts in a specific research field.

Description

technical field [0001] The invention belongs to the technical field of document retrieval, and in particular relates to an author recommendation method based on the number of citations. Background technique [0002] To find experts who meet specific technical needs, usually use social networks or find corresponding experts based on the author information of scientific and technological achievements. Finding experts through the social network relies too much on the social relationship of the demand side, which has great limitations; finding experts based on the author information of scientific and technological achievements requires a lot of manpower and time to conduct research on scientific and technological achievements and the authors of the achievements, which is inefficient and a huge workload. These two methods of manually finding experts are too subjective, and there are problems such as lack of accuracy and fairness. The intelligent recommendation expert technology ...

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): G06F16/335G06F16/35
CPCG06F16/335G06F16/35
Inventor 吴晨生李荣刘静张炜张惠娜
Owner 北京市科学技术情报研究所
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