Analysis and Design of Personalized Learning Resources Recommendation System Based on Collaborative Filtering Algorithm-Reference-Cited by-同舟云学术

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Analysis and Design of Personalized Learning Resources Recommendation System Based on Collaborative Filtering Algorithm

Published:2023-04-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT)
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Author:

Wu Lijun¹

Affiliation:

1. Bohai University,College of Foreign Languages,Jinzhou,Liaoning,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134573/10134574/10134575.pdf?arnumber=10134575

Reference10 articles.

1. Design of recommendation system for ubiquitous learning resources of Computer Foundation. Journal of Guiyang University(Natural Sciences);shen,2021

2. An lmproved Collaborative Filtering Algorithm for lncreasing Book Recommendation Accuracy;ke;Microcomputer Applications,2018

3. Design of Personalized Learning Resource Recommendation System for Online Education Platform;li;Computer Technology and Development,2021

4. An optimized item-based collaborative filtering algorithm

5. Research Hotspots, Trends and Implications of Recommendation Algorithms for Digital Learning Resources in China;song;Journal of Yunnan Normal University(Natural Sciences Edition),2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. E-commerce-based Smart Recommendation System using element-by-element collaborative filtering following with the Machine Learning Technology;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17

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