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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
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Problems solved by technology

However, the cooperative relationship is affected by subjective factors. Similar cooperation in non-research fields will interfere with the recommendation results. Moreover, the cooperative relationship between authors cannot reflect the inheritance of knowledge itself and the implicit correlation between research topics.

Method used

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

Examples

Experimental program
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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...

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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

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Application Information

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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
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