Latest Research in Recommender Systems and Techniques

Top Research Topics in Recommender Systems and Techniques

• Information Retrieval — 16 papers
• Recommender Systems and Techniques — 7 papers
• Artificial Intelligence — 3 papers
• Machine Learning — 3 papers
• Explainable Artificial Intelligence (XAI) — 3 papers
• Computer Science and Game Theory — 2 papers
• Data Analysis and Archiving — 2 papers
• Emotion and Mood Recognition — 1 papers
• Olfactory and Sensory Function Studies — 1 papers
• Human Mobility and Location-Based Analysis — 1 papers

Highest-Cited Papers

1. The User Asks, Platforms Compete: How Agentic Recommendation Markets Take Shape
2. TWICE: Two-Clock, Two-Window Learning for Long-Horizon Conversion Prediction in Online Advertising
3. The Cost of Interpretability: Auditable User Representations via Archetypes
4. The Cost of Interpretability: Auditable User Representations via Archetypes
5. E-commerce User Purchase Intention Prediction Based on Temporal Behavior Modeling
6. CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search
7. How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness
8. OxygenREC-v2: Internalizing Discrimination into Generative Recommendation
9. On the Convergent Validity of Offline Evaluation Designs for Recommender Systems
10. ClawRec: A Claw-Native Recommender System
11. Uncertainty Modeling for Multi-Objective RTA Interception with Distillation Acceleration
12. DRM: An Interpretable Dual-view Reasoning Model for POI Retrieval
13. Enhancing User Emotion via a Session-Based News Recommender System Using Touch Interaction Patterns
14. TSGR: Taobao Search Generative Retrieval
15. Context‐Aware Fragrance Discovery: Balancing Semantic Alignment and Catalogue Coverage Through Stochastic Ranking
16. A Position Paper on Recommender Systems in the Era of Autonomous Agents
17. Reproducibility in Recommender Systems: A Survey
18. Emotion-based Recommender System
19. Can We Steer the Black-Box? Towards Controllability-Centric Evaluation of Recommender Systems with Collaborative Agents
20. Reactive Users vs. Social Recommender Systems: Managing Opinion Drifts with Adaptive Policies