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Recommendation Systems： A Comparative Study of Traditional Models and Pre-Trained Model Approaches
Research Review | 更新时间：2025-02-26
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    • Recommendation Systems： A Comparative Study of Traditional Models and Pre-Trained Model Approaches

    • “In the era of information explosion, optimizing recommendation systems is crucial. The study compared traditional recommendation systems with large language model recommendation systems, clarified their respective advantages and limitations, and provided reference for future research and development strategies.”
    • Software Guide   Vol. 24, Issue 2, Pages: 204-210(2025)

    • DOI：10.11907/rjdk.232280    

      CLC： TP18

    • Received：19 December 2023，

      Published：28 February 2025

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  • HUANG Wen,LI Zhenjiang.Recommendation Systems： A Comparative Study of Traditional Models and Pre-Trained Model Approaches[J].Software Guide,2025,24(02):204-210. DOI： 10.11907/rjdk.232280.

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