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Random walk model-based zero-reference article recommendation method and system

A technology of random walk model and recommendation method, applied in the field of recommendation, can solve problems such as lack of sorting algorithm, inability to find information that meets one's needs, etc.

Active Publication Date: 2016-12-21
SHANGHAI JIAO TONG UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, ranking research in the face of newly published papers is still in its infancy
Tens of thousands of new papers are published every year. The lack of accurate sorting algorithms in this field makes it impossible for researchers to quickly find the information that meets their needs from the massive data

Method used

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  • Random walk model-based zero-reference article recommendation method and system
  • Random walk model-based zero-reference article recommendation method and system
  • Random walk model-based zero-reference article recommendation method and system

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Embodiment Construction

[0069] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0070] According to the zero-citation article recommendation method based on the random walk model provided by the present invention, the method comprises the following steps:

[0071] Step S1: Construct an academic network model, and use the random walk method to obtain the scores of the first author of each paper, the conference or journal that accepted the paper, and the institution that published the paper. Grading of papers; now explain the symbols involved in the implementation steps, see Table 1 ...

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Abstract

The invention provides a random walk model-based zero-reference article recommendation method and system. The method comprises the following steps of 1, constructing an academic network model, and obtaining feature values corresponding to a first author, a conference or periodical, a mechanism and a published time of each paper through a random walk method; 2, establishing a sorting model, and selecting paper data processed in the step 1 to construct a training set; 3, sorting the training set through a weak classifier; 4, judging whether the sorting result of the weak classifier is matched with a real sorting result of the training set or not, so as to obtain an optimal sorting model; and 5, recommending zero-reference literatures required by the users through the sorting model. According to the method and system provided by the invention, a brand new paper sorting through is used, so that the newly published papers can be recommended more effectively and then the users can obtain the most relevant new papers.

Description

technical field [0001] The present invention relates to the technical field of recommendation, in particular to a zero-citation article recommendation method and system based on a random walk model. Background technique [0002] Scientific research activities are the strategic support for improving social productivity and comprehensive national strength. All countries in the world attach great importance to investment in scientific research activities. my country has put scientific and technological research and development at the core of the overall national development, and the national financial expenditure on scientific research has steadily increased. In 2012, China's research and experimental development investment (including industry and academia) has exceeded one trillion yuan, reaching 1029.84 billion yuan, reaching the level of moderately developed countries. [0003] One of the most direct outputs of scientific research activities is academic papers. According ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/355G06F16/9535G06F18/214
Inventor 吴峥邓丰雨宋振宇王乐群李世韬吴昊杨蕴意杨雨城何伟堃廖一鸣齐雨赵璟浩傅洛伊王新兵
Owner SHANGHAI JIAO TONG UNIV
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