On the Reliability of Sampling Strategies in Offline Recommender Evaluation
不同采样策略在不同曝光偏差下的区分性, 鲁棒性, 一致性
Blogs
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
On the Markovian Nature of the Next-Item Recommendation Task
序列推荐任务的马尔科夫性
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
Revisiting Self-attention for Cross-domain Sequential Recommendation
利用多任务/多目标优化学习到更佳的 Attention 分布, 促进跨域推荐
Pareto Multi-Task Learning
通过限定子区域实现 Pareto MTL
Multiple-Gradient Descent Algorithm (MGDA) for Multiobjective Optimization
从梯度融合角度理解多任务/多目标优化
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