Latest Research in Generative Recommendation Orchestration

Top Research Topics in Generative Recommendation Orchestration

• Information Retrieval — 151 papers
• Recommender Systems and Techniques — 42 papers
• Machine Learning — 15 papers
• Artificial Intelligence — 13 papers
• Computation and Language — 6 papers
• Explainable Artificial Intelligence (XAI) — 5 papers
• Sentiment Analysis and Opinion Mining — 4 papers
• Advanced Graph Neural Networks — 3 papers
• Computer Science and Game Theory — 2 papers
• Multimodal Machine Learning Applications — 2 papers

Highest-Cited Papers

1. UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent
2. CaIRec: Calibrated Modality Imputation for Incomplete Multimodal Recommendation
3. Learning from the Future: Privileged Self-Distillation for Sequential Recommendation
4. LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains
5. PSG: Pair-Space Generation for Efficient Generative Reranking
6. The User Asks, Platforms Compete: How Agentic Recommendation Markets Take Shape
7. Improving Item Discoverability in e-Commerce Search via Related Intent Generation
8. DIRECTOR: Dynamic Index-based Recommendation with Transport-Optimized Retrieval
9. Multi-Decoder OneRec: Controllable Generative Retrieval for Multi-Objective Industrial Recommendation
10. Beyond Action Imitation: Learning a Decision-Aware User Simulator for Online Advertising
11. Embedding Items at Scale: Comparing GNN-Based and ID-Based Item Embeddings in the Yandex Ecosystem
12. ClockRoPE: Random Fourier Rotations for Temporal Routine Modeling
13. NMKFR: A Robust Framework for Time-Aware Cold-Start Recommendation
14. WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models
15. Kairos: Numerically Robust News Recommendation under Item Cold-Start via Cholesky-based LinUCB
16. IMFuse: Instance-Aware Multi-Layer Fusion for LLM-Enhanced Sequential Recommendation
17. FlashEvaluator: Expanding Search Space with Parallel Sequence-Level Evaluation
18. Grevo: A Unified Generative Recommendation Framework with Evolutionary Item Indexing
19. Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation
20. MARS: Multi-Agent Re-ranking for Repeat-Order Food Delivery Recommendation

Sub-Regions

• Information Retrieval — 209 papers
• Recommender Systems and Techniques — 41 papers
• Sentiment Analysis and Opinion Mining — 10 papers