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Intelligent retrieval method for ESI cross-period data

A data and intelligent technology, applied in the field of data retrieval, can solve problems such as accuracy and efficiency impact, and achieve the effect of avoiding tedious work and improving search efficiency

Pending Publication Date: 2019-12-24
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, no matter whether it is an index database such as SCI or EI or a full-text database such as IEL or Springer, the data format is heterogeneous, and the retrieval method is also asynchronous, so only a single database can be searched, and the search results of multiple databases need to be manually merged , its accuracy and efficiency are affected by

Method used

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  • Intelligent retrieval method for ESI cross-period data
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  • Intelligent retrieval method for ESI cross-period data

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Experimental program
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Embodiment Construction

[0027] Some domestic colleges and universities provide data push services for ESI historical data of 6 issues per year, and can provide ESI data archive list of 6 issues per year for users to browse and download (such as Tsinghua University, Xi'an Jiaotong University, etc.), but so far these services are limited to Provide ESI raw data download by period, lack of management, inter-period retrieval and statistical functions for all historical data.

[0028] ESI publishes 6 periods of historical data every year, and the accumulation has reached 30 periods in the past 5 years. When users need to know the comprehensive situation of ESI inter-temporal collection, they can only download ESI data files period by period for manual query and statistics. Moreover, due to the differences among the universities involved, each issue of ESI data ranges from dozens to thousands of items, and users cannot quickly locate relevant papers; more importantly, the historical data of each issue is re...

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Abstract

The invention provides an intelligent retrieval method for ESI cross-period data. According to the method, authors, institutions, database sources, hospitals, titles and the like are taken as targetsto carry out rapid statistics and analysis on all cross-period data of the ESI; the retrieval matching prediction is performed through the deep reinforcement learning algorithm, the one-stop service is provided for the user in the multi-period historical ESI data, and the retrieval result is given more intelligently and accurately, so that the tedious operation caused by the fact that the user canonly search in a single database and manually merge a plurality of search results is avoided, and the search efficiency is further improved.

Description

technical field [0001] The invention belongs to the field of data retrieval, in particular to an intelligent retrieval method for ESI intertemporal data. Background technique [0002] Some domestic colleges and universities provide data push services for ESI historical data of 6 issues per year, and can provide ESI data archive list of 6 issues per year for users to browse and download (such as Tsinghua University, Xi'an Jiaotong University, etc.), but so far these services are limited to Provide ESI raw data download by period, lack of management, inter-period retrieval and statistical functions for all historical data. [0003] ESI releases 6 periods of data every year, and the accumulation has reached 30 periods in the past 5 years. When users need to know the comprehensive ESI inter-temporal collection situation, they can only download ESI data files period by period for manual query and statistics. Moreover, due to the differences among the universities involved, each ...

Claims

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Application Information

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IPC IPC(8): G06F16/28G06K9/62G06F16/22G06F16/2458
CPCG06F16/284G06F16/2228G06F16/2465G06F18/214
Inventor 李晓志田永超周晓兰康恩婷高玉平陈力李亚非郭少坤张轩赵丽香李晞
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)