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Novel method for evaluating significance of network academic resources

A technology for evaluating the importance of the network, applied in the field of information management, can solve problems such as the inapplicability of network academic resources, and achieve the effect of improving sorting and improving efficiency

Inactive Publication Date: 2009-12-16
北京中加国道科技有限公司
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

As mentioned earlier, this method is not suitable for online academic resources

Method used

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  • Novel method for evaluating significance of network academic resources
  • Novel method for evaluating significance of network academic resources
  • Novel method for evaluating significance of network academic resources

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] specific implementation plan

[0032] In the first step, professional editors manually extract the static features of network academic resources.

[0033] The second step is to improve the dynamic characteristics of each network academic resource. The dynamic feature extraction mainly comes from the log information of the retrieval system.

[0034] In the third step, the training samples are selected according to the topic, and their relative importance is marked by experts.

[0035] The fourth step is to learn the sorting model of the support vector machine according to the training samples for each topic.

[0036] The fifth step is to calculate the importance of each network academic resource according to the learned support vector machine sorting model for each topic.

[0037] The sixth step is to periodically repeat steps two to five.

Description of drawings

[0038] Attached is a schematic diagram of a new method for evaluating the importance of online academ...

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Abstract

The invention discloses a novel method for evaluating significance of network academic resources, and belongs to the technical field of the information management field. Aiming at the characteristics of the academic resources, the scheme provides a novel method for automatically evaluating the significance of the network academic resources based on SVM Ranking (Support Vector Machine Ranking). The method comprises two stages, namely a training stage and an application stage, wherein the training stage comprises that an expert labels relative significance of any two samples in a group of samples and then learns out an SVM Ranking model according to the labeled samples; and in the application stage, for any network academic resource, the trained SVM Ranking model can output a real number to represent the significance of the network academic resource. The SVM Ranking model is updated periodically, and the update each time is based on samples newly labeled by the expert. The significance of the network academic resources can be used for adjusting the rank ordering of retrieve results, so that results with similar correlation and high significance are ranked ahead.

Description

technical field [0001] The invention discloses a method for evaluating the importance of network academic resources based on a support vector machine ranking model, which belongs to the technical category of information management and can be applied to the evaluation of the importance of academic resources on the Internet and the ranking of retrieval results of network academic resources. In terms of discipline, it belongs to the category of modern library science and information science. Background technique [0002] Network academic resources are digital resources related to academics on the Internet. Network academic resources are huge in quantity, various in variety, covering a wide range of subjects, and have certain academic value. They are an important supplement to traditional academic resources, such as academic journals. [0003] However, unlike traditional academic resources such as academic journals, the publication process of Internet academic resources lacks a...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 刘玉良李连栓刘小华
Owner 北京中加国道科技有限公司
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