HiGR: Industrial-Scale Hierarchical Generative Slate Recommendation Framework in Tencent

HiGR, a hierarchical generative framework for slate recommendation, has been introduced by Tencent to address challenges in industrial-scale item display. It employs a Prefix-Contrastive Residual Quantized VAE (PCRQ-VAE) for structured semantic ID learning and a Hierarchical Slate Decoder (HSD) to enhance planning efficiency, resulting in over 10% improvement in offline recommendation quality and a 5x speedup in inference. This framework's deployment across Tencent platforms demonstrates its scalability and effectiveness in optimizing user engagement metrics like watch time and video plays.