Information pushing method and device based on literature data, storage medium and terminal

By identifying authors with the same name and calculating the number of published and cited documents, and combining the H-index with the total number of cited documents, the problem of the H-index's insensitivity is solved, resulting in more accurate user evaluations and information pushes.

CN115238163BActive Publication Date: 2026-03-24SHANGHAI TEACHERS EDUCATION COLLEGE (TEACHING RESEARCH OFFICE OF SHANGHAI EDUCATION COMMISSION) +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-04-23
Publication Date
2026-03-24

AI Technical Summary

Technical Problem

In existing technologies, the H-index is not sensitive to the publication data and highly cited data of talents, resulting in inaccurate evaluation and recommendation.

Method used

By crawling literature data from multiple users, identifying authors with the same name and calculating the number of published and cited documents, and combining the H-index and the total number of cited documents, the user's evaluation result is calculated.

Benefits of technology

This improves the accuracy of evaluation results, enabling a true reflection of users' posting volume and citation frequency, and enhancing the accuracy of information delivery.

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Abstract

A kind of information push method and device based on literature data, storage medium, terminal based on literature data, information push method based on literature data includes: crawling multiple user published literature data, literature data includes literature theme and cited literature data;If the author of different literature data is same name, then at least according to the theme similarity of literature data, same name author is identified;According to the literature data crawled, extract at least part of user published literature data and cited literature data in multiple users, published literature data includes the number of published literature, cited literature data includes the number of cited literature;At least according to the evaluation result of at least part of user, at least part of user published literature data and cited literature data are calculated;According to the evaluation result of each user, information is pushed, and the information pushed includes user and / or user's literature data.The present technical solution can truly and accurately realize information push based on literature data.
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