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An Event Knowledge Graph for Students' Competition level prediction

Published: 01 June 2024 Publication History

Abstract

In this paper, an analysis and prediction method of students' competition level based on Event Knowledge Graph is proposed to solve the problem of traditional competition evaluation. By collecting the question set of 2016-2023 ladder competition or climbing the website data of “https://www.luogu.com.cn/”, the competition question bank is obtained, and the questions are classified and labeled. The weight of each knowledge point was calculated by using the difficulty and frequency of knowledge points, and then the attributes and relationships of the events were established, and the event knowledge graph with the contest topic as entity was constructed and displayed through the graph visualization tool. This method can be used to predict students' competition ability and play an important role in talent selection.

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  1. An Event Knowledge Graph for Students' Competition level prediction

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    ICBAR '23: Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management
    November 2023
    1156 pages
    ISBN:9798400716478
    DOI:10.1145/3656766
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 01 June 2024

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