Research on Personalized Courseware Recommendation System of Rural Distance Learning Based on Combination Recommendation Technology

Jian Guo, Ji Chun Zhao · 2013 · Applied Mechanics and Materials

Summary. This paper develops a personalized courseware recommendation system for rural distance learning by combining content filtering and collaborative filtering technologies. The authors address sparse data and cold start problems through hybrid recommendation methods and optimize system performance for rural adult learners. The system enables distance education platforms to deliver customized training services to rural users.

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Guo, J., & Zhao, J. C.. (2013). Research on Personalized Courseware Recommendation System of Rural Distance Learning Based on Combination Recommendation Technology. Applied Mechanics and Materials. https://doi.org/10.4028/www.scientific.net/amm.373-375.1652

@article{guo-2013-research-personalized-courseware-recommendation-system,
  title   = {Research on Personalized Courseware Recommendation System of Rural Distance Learning Based on Combination Recommendation Technology},
  author  = {Jian Guo and Ji Chun Zhao},
  journal = {Applied Mechanics and Materials},
  year    = {2013},
  doi     = {10.4028/www.scientific.net/amm.373-375.1652},
  url     = {https://doi.org/10.4028/www.scientific.net/amm.373-375.1652}
}

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TI  - Research on Personalized Courseware Recommendation System of Rural Distance Learning Based on Combination Recommendation Technology
AU  - Jian Guo
AU  - Ji Chun Zhao
JO  - Applied Mechanics and Materials
PY  - 2013
DO  - 10.4028/www.scientific.net/amm.373-375.1652
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Details

DOI: 10.4028/www.scientific.net/amm.373-375.1652
Countries: China
Regions: Asia
Categories: broadband-and-digital, education
Added: 2026-04-28