Recommendation system-application of unbiased deep learning in recommendation system with causal inference

Fanjie Feng; Longjie Fang; Runze Cui

doi:10.1117/12.2683432

26 June 2023 Recommendation system-application of unbiased deep learning in recommendation system with causal inference

Fanjie Feng, Longjie Fang, Runze Cui

Proceedings Volume 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023); 1271407 (2023) https://doi.org/10.1117/12.2683432
Event: Third International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 2023, Sanya, China

Abstract

All data for training and evaluating recommended systems are subject to selection biases. In much research, principled approaches have been found to manage selection biases by adapting estimation techniques and models from causal inference. However, no matter what kind of method is adopted, the problem of data randomly missing always exists. This paper tries to discover whether the deeper model can effectively bring better prediction results and debias. We theoretically and experimentally examine whether the models are robust or not.

Citation Download Citation

Fanjie Feng, Longjie Fang, and Runze Cui "Recommendation system-application of unbiased deep learning in recommendation system with causal inference", Proc. SPIE 12714, International Conference on Computer Network Security and Software Engineering (CNSSE 2023), 1271407 (26 June 2023); https://doi.org/10.1117/12.2683432

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