A Course Teacher Recommendation Algorithm Based on Improved Latent Factor Model and PersonalRank

A Course Teacher Recommendation Algorithm Based on Improved Latent Factor Model and PersonalRank

To scientifically and accurately recommend suitable teachers for university courses and improve teaching quality, designing an effective recommendation algorithm is necessary. Therefore, we construct quantitative models of teacher characteristics, course characteristics, and teaching evaluations und...

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Bibliographic Details
Main Authors: Dunhong Yao, Xiaowu Deng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
LFM
PersonalRank
PRLFM
teacher recommendation
teaching quality
Online Access:https://ieeexplore.ieee.org/document/9502731/

Internet

https://ieeexplore.ieee.org/document/9502731/

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