Pctx: Tokenizing Personalized Context for Generative Recommendation
个性化 semantic IDs
Vector Quantization
UniSearch: Rethinking Search System with a Unified Generative Architecture
End-to-End 生成式检索
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
对残差量化的修改
Representation Quantization for Collaborative Filtering Augmentation
经过正交变换后的向量量化
Unified Semantic and ID Representation Learning for Deep Recommenders
混合距离用于量化匹配 & 端到端的联合训练
Generative Recommendation with Semantic IDs: A Practitioner’s Handbook
分析比较了现有生成式推荐的 Tricks 并给出了一个训练框架
Product Quantization for Nearest Neighbor Search
将 Product Quantization 用于搜索以降低存储占用
Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
通过 Q-Former 将 semantic IDs 转换为 textual IDs
An Image is Worth 32 Tokens for Reconstruction and Generation
非结构化的一维离散 Visual Tokens 生成策略
BEiT: BERT Pre-Training of Image Transformers
Visual Tokens & Masked Image Modeling