From the 2 of 7 linked papers with an AI index.
7 papers
PSG: Pair-Space Generation for Efficient Generative Reranking
Chao Feng, Li Ma, Xiancheng Gao +3
The paper introduces Pair-Space Generation (PSG), which generates ordered item pairs instead of single items to speed up generative reranking in recommender systems while preservin…
DIRECTOR: Dynamic Index-based Recommendation with Transport-Optimized Retrieval
Yuanhao Pu, Chenghao Zhang, Chao Feng +2
The paper introduces DIRECTOR, a parallel reranking framework that uses dynamic retrieval indices and entropy‑regularized optimal transport to generate duplicate‑free recommendatio…
FlashEvaluator: Expanding Search Space with Parallel Sequence-Level Evaluation
Chao Feng, Yuanhao Pu, Chenghao Zhang +9
The Generator-Evaluator (G-E) framework generates K candidate sequences and uses an evaluator to select the highest-scoring one, which is widely used in recommender systems (RecSys…
SOLAR: SVD-Optimized Lifelong Attention for Recommendation
Chenghao Zhang, Chao Feng, Yuanhao Pu +8
Attention mechanism remains the defining operator in Transformers since it provides expressive global credit assignment, yet its time and memory cost in sequence length…
DUET: Dual Model Co-Training for Entire Space CTR Prediction
Yutian Xiao, Meng Yuan, Fuzhen Zhuang +9
The pre-ranking stage plays a pivotal role in large-scale recommender systems but faces an intrinsic trade-off between model expressiveness and computational efficiency. Owing to t…
Generate the browsing process for short-video recommendation
Chao Feng, Yanze Zhang, Chenghao Zhang
This paper proposes a generative method to dynamically simulate users' short video watching journey for watch time prediction in short video recommendation. Unlike existing methods…