Climber: Toward Efficient Scaling Laws for Large Recommendation Models
一个 CTR 领域更加高效 Scaling 的推荐架构
Blogs
汽车选购指北
Car
Pctx: Tokenizing Personalized Context for Generative Recommendation
个性化 semantic IDs
RankMixer: Scaling Up Ranking Models in Industrial Recommenders
抖音在大模型推荐上的尝试
Limitations of Dense Retrieval and Beyond
向量检索的瓶颈以及生成式检索的未来
Scaling Laws
Scaling Laws 的细节推导
Understanding Embedding Scaling in Collaborative Filtering
理解 Scaling up Embedding Size 过程中会出现的 double-peak/logarithmic 现象
UniSearch: Rethinking Search System with a Unified Generative Architecture
End-to-End 生成式检索
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
在多个开源数据集上训练的生成式推荐模型, 利用课程学习训练 Tokenizer
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
对残差量化的修改