PSLF: A PID Controller-incorporated Second-order Latent Factor Analysis Model for Recommender System

• URL: http://arxiv.org/abs/2409.00448v1
• Date: Sat, 31 Aug 2024 13:01:58 GMT
• Title: PSLF: A PID Controller-incorporated Second-order Latent Factor Analysis Model for Recommender System
• Authors: Jialiang Wang, Yan Xia, Ye Yuan,
• Abstract summary: A second-order-based HDI model (SLF) analysis demonstrates superior performance in graph learning, particularly for high- and incomplete factor data rates.
• Score: 11.650076383080526
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: A second-order-based latent factor (SLF) analysis model demonstrates superior performance in graph representation learning, particularly for high-dimensional and incomplete (HDI) interaction data, by incorporating the curvature information of the loss landscape. However, its objective function is commonly bi-linear and non-convex, causing the SLF model to suffer from a low convergence rate. To address this issue, this paper proposes a PID controller-incorporated SLF (PSLF) model, leveraging two key strategies: a) refining learning error estimation by incorporating the PID controller principles, and b) acquiring second-order information insights through Hessian-vector products. Experimental results on multiple HDI datasets indicate that the proposed PSLF model outperforms four state-of-the-art latent factor models based on advanced optimizers regarding convergence rates and generalization performance.

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