Recommendation Algorithm Driven by Difficulty Coefficient of E-learning Materials-Reference-Cited by-同舟云学术

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Recommendation Algorithm Driven by Difficulty Coefficient of E-learning Materials

Published:2022-10-03 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )
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Author:

Feng Jingying¹,Yang Dapeng²,Yuan Linxin²,Xu Ming²,Wang Zheng²,Li Shaohua³

Affiliation:

1. Liaoning Police Academy,Police Information Department,Dalian,China,116036

2. School of Software, Dalian University of Foreign Languages,Dalian,China,116044

3. School of Innovation and Entrepreneurship, Dalian University of Foreign Languages,Dalian,China,116044

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9929429/9929329/09929781.pdf?arnumber=9929781

Reference13 articles.

1. A Collaborative Filtering Algorithm of Calculating Similarity Based on Item Rating and Attributes

2. Evaluation Metrics for Recommender Systems;zhu;Journal of University of Electronic Science and Technology of China,2012

3. Improving recommendation lists through topic diversification

4. Beyond accuracy

5. Effective association clusters filtering to cold-start recommendations

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