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Study on the Personalized Recommendation Technology of Meteorological Network Course Resources∗

Published: 11 April 2022 Publication History

Abstract

This study collects, summarizes and analyzes a large number of user data on the Meteorological Distance Education Platform of the CMA Training Centre of China Meteorological Administration. According to the data of user attribute information, course resource information and user learning behavior of the Meteorological Distance Education Platform, this study proposes a personalized recommendation algorithm for meteorological network courses, and realizes the personalized course resource recommendation function of the Meteorological Distance Education Platform. Through the realization of this function, learners can understand their own learning status, find out and fill vacancies in time, and choose personalized learning paths, thereby ultimately improving the training effect of meteorological network courses.

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Presentation slides (wiiat21companion-93.pptx)

References

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cover image ACM Conferences
WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
December 2021
541 pages
ISBN:9781450391870
DOI:10.1145/3498851
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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Association for Computing Machinery

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Publication History

Published: 11 April 2022

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Author Tags

  1. Meteorological Network Courses
  2. Personalized Learning
  3. Personalized Resource Recommendation

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  • Research-article
  • Research
  • Refereed limited

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WI-IAT '21
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WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence
December 14 - 17, 2021
VIC, Melbourne, Australia

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