Multi-level fast personalized recommendation system

Qiyuan Fang

doi:10.1117/12.2667883

28 March 2023 Multi-level fast personalized recommendation system

Qiyuan Fang

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125660P (2023) https://doi.org/10.1117/12.2667883
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

Personalized recommendation systems have high speed requirements, and most of the previous methods rely on powerful hardware to meet the real-time requirements. We algorithmically propose a fast recommender system. Our proposed method abandons the previous global comparison method, but uses a local comparison method, which greatly reduces the computational complexity. The experimental results also show that the effect of the method is not decreased, but improved.

Citation Download Citation

Qiyuan Fang "Multi-level fast personalized recommendation system", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125660P (28 March 2023); https://doi.org/10.1117/12.2667883

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