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Man-machine collaborative optimization periodical positioning method

A technology of man-machine collaboration and periodicals, applied in data processing applications, sales/lease transactions, instruments, etc., can solve problems such as lack of literature support, unfriendly establishment of new journals, lack of submitted documents or authors in the field of pre-running journals, etc.

Pending Publication Date: 2022-04-22
同方知网数字出版技术股份有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. In the field of pre-running journals, there is a lack of submitted documents or authors, and there is a lack of document support;
[0004] 2. The number of periodicals with the same positioning in the field of pre-running journals is already saturated or in a state of oversupply, which is not friendly to the establishment of new journals

Method used

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  • Man-machine collaborative optimization periodical positioning method

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Effect test

specific Embodiment

[0066] 1) The user enters keywords: keywords=["Coronavirus", "Coronavirus", "Coronavirus"] The processing flow is as follows:

[0067] a. Obtain the custom_domain of the user's preset journal domain: query topic_service according to the keyword and collaboratively select the user, custom_domain=["T.16_new coronavirus; covid-19; sars-cov-2; pneumonia; nucleic acid detection; 2019-ncov" , "T.1618_Nurse; Qualitative Research; Coronavirus; Stress, Psychology; Clinical Frontline; Stress Resistance", "T.1025_Network Pharmacology; Novel Coronavirus Pneumonia (covid-19); Potential Role mechanism; 3cl hydrolase; antiviral; stigmasterol"];

[0068] b. Perform multi-dimensional analysis on the literature and information corresponding to custom_domain:

[0069] Document growth rate = 68.87 Author growth rate = 80.7 Journal growth rate = 10.125

[0070] analysis_custom_domain_corpus_re={

[0071] doc_info:{docs_counts:3904,docs_grow_trend_by_year:{positive}},

[0072] author_info:{autho...

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Abstract

The invention discloses a man-machine collaborative optimization journal positioning method. The method comprises the following steps: obtaining a journal domain preset by a user; performing multi-dimensional analysis on the literature corresponding to the cumdomain and the information to which the literature belongs; and according to a dimension analysis result, judging whether the cumdomain is suitable for a new periodical applying index or not. According to the method, the user can be helped to comprehensively know the full view of the field information set by the user during periodical positioning, a series of subsequent problems caused by poor periodical positioning are avoided, a closed loop is formed by man-machine cooperation, and the user is helped to find proper periodical content positioning.

Description

technical field [0001] The invention belongs to the technical field of journal optimization, and in particular relates to a method for optimizing journal positioning by man-machine collaboration. Background technique [0002] The positioning of the journal is the result of the pre-publisher based on market research and discussions by senior experts. Journal positioning is an indispensable link in the process of running a journal. The positioning of the journal includes the purpose of running the journal, the target of readers, the target of the author, the main column, the main content, the distribution method, etc. Among them, the "main content" is the primary link of the direction of the journal's positioning, and it is the determination of the pre-running field. However, in the era of big data with information explosion, data (quantity and content) are changing all the time. Market researchers or experts cannot fully understand the whole information. Relying on the feedb...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q30/06G06Q50/20
CPCG06Q30/0203G06Q30/0631G06Q30/0623G06Q50/20
Inventor 冯晓燕吴晨范真真孙睿
Owner 同方知网数字出版技术股份有限公司
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