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Document quality assessment method and application

A literature and quality technology, applied in special data processing applications, instruments, calculations, etc., can solve problems such as low evaluation, strong limitations, rough citation analysis results, etc., and achieve the effect of improving the ranking effect

Inactive Publication Date: 2010-11-17
PEKING UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

Compared with peer review, the evaluation method of citation analysis is simpler, and it is easy to use computer to complete automatically; at the same time, the results of citation analysis are rougher, and the relationship between citations and citations between papers must be used. Few citations, often give low evaluation, strong limitations

Method used

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  • Document quality assessment method and application
  • Document quality assessment method and application
  • Document quality assessment method and application

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Embodiment Construction

[0022] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0023] Step 1: Construct a weighted directed graph, called the academic network graph, using the citation relationship of the literature, the relationship between the literature and journal conferences and authors, and the publication time of the literature.

[0024] The academic network diagram designed and constructed by the present invention is composed of three parts, and models the relationships among three entities: documents, authors, and periodical conferences. The three parts are:

[0025] ● Literature citation interconnection subgraph G dd =(V d ,E dd ),

[0026] G dd is a directed graph, which represents the citation relationship between documents, where V d is the document vertex set, E dd is an edge set, directed edgei , d j >∈ E dd Indicates the document d i Citing literature d j ;

[0027] ●Author-document subgraph G ...

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PUM

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Abstract

The invention provides a document quality assessment algorithm applied to a document sharing platform. The algorithm comprises the following steps of: constructing an academic network graph by using a relationship between a document-document and document-periodical session and a writer; quantifying the relationship as a transition relationship between vertexes on the graph, and acquiring a transition probability matrix by modeling; establishing a model by using the collection behavior of a user on documents, and calculating a user analysis-based document quality value; and performing a random walk iterative algorithm with restart on the graph to obtain information on document quality, periodical session quality and writer academic reputation. The document quality assessment algorithm combines the user behavior information and the document quality assessment for the first time, and can give the document quality analysis result and give the analysis results of the writer academic reputation and the periodical session academic quality at the same time, and obviously improves the ordering effect compared with other methods.

Description

technical field [0001] The invention relates to a document quality assessment method, in particular to a document quality assessment method on a document sharing platform, and belongs to the technical field of knowledge mining. Background technique [0002] In recent years, with the rapid development of scientific research, the publication speed of scientific and technological literature has increased year by year, and the number has become very large. For example, there are more than 1.5 million scientific and technological literature on CiteSeerX, a digital library only for the field of computer and information science. Scientific researchers need to read and refer to a large number of scientific and technological documents in the process of conducting research work. The value of high-quality documents and low-quality documents to scientific researchers is very different. Obtaining high-value scientific literature has become a very difficult task. Therefore, the research ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 张铭封盛
Owner PEKING UNIV
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