Key papers

• Privacy Risks of LLM-Empowered Recommender Systems: An Inversion Attack Perspective (2025)
  Yubo Wang and Min Tang and Nuo Shen and Shujie Cui and Weiqing Wang
  5.46
• ViHoRec: A Quality-Controlled Vietnamese Hotel Recommendation Dataset and Cold-Start Benchmark (2026)
  Minh Hoang Nguyen
  4.94
• CSTutorBench: Benchmarking Small Language Models as Tutors for Block-Based Programming (2026)
  H. Chad Lane et al.
  4.33
• CD-MED: Cross-Domain Multimodal Emotion Descriptor for Visual Comparison of Digital Objects (2026)
  Elnara Kadyrgali et al.
  4.33
• Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation (2026)
  Huwei Ji et al.
  4.33
• Enhancing New-item Fairness in Dynamic Recommender Systems (2025)
  Huizhong Guo et al.
  4.30
• Diagnosing Knowledge Gaps in LLM Tool Use: An Agentic Benchmark for Novel API Acquisition (2026)
  Jinnuo Liu et al.
  4.27
• Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems (2026)
  Yuanzi Li et al.
  4.27
• Graph Contrastive Learning With Diffusion-Based Transfer for Cross-Domain Recommender System (2026)
  Pham Minh Thu Do et al.
  4.15
• Scientific Code Search at Scale: A Multi-Domain Dataset and Benchmark (2026)
  Nishan Pantha et al.
  3.45
• Uncertainty-Aware Cross-Modal Remote Sensing Image-Text Retrieval via Evidential Learning (2026)
  Zhuoyue Wang et al.
  3.45
• Not Only NTP: Extending Training Signal Coverage for Generative Recommendation (2026)
  Changhao Li et al.
  3.45
• PETRA: Transforming Web Text for Petroleum-Engineering Domain Adaptation (2026)
  Kirill Dubovikov (Mohamed bin Zayed University of Artificial Intelligence) et al.
  3.39
• Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation (2025)
  Seongeun Ryu et al.
  2.93
• Graph Neural Network Enhanced Sequential Recommendation Method for Cross-Platform Ad Campaign (2025)
  Xiang Li et al.
  2.87
• Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs (2025)
  Yushang Zhao et al.
  2.87
• Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward (2025)
  Yanming Wan et al.
  2.71
• Interactive Visualization Recommendation with Hier-SUCB (2025)
  Songwen Hu et al.
  2.60
• Borrowed Geometry: Cross-Distribution Head-Importance Fingerprints of Frozen Pretrained Gemma 4 31B (2026)
  Abay Bektursun
  1.89
• Bridging Short Videos and Live Streams: Reasoning-Guided Multimodal LLMs for Cross-Domain Representation Learning (2026)
  Le Zhang et al.
  1.89
• DREAM: Dynamic Refinement of Early Assignment Mappings (2026)
  Liwei Guan et al.
  1.89
• One Sequential Recommendation Model Pretrained from Synthetic Priors Predicts Multiple Datasets (2026)
  Woosung Kang et al.
  1.89
• Knowledge-Aware Prompt-Tuning for Integrated Conversational Recommender System (2026)
  Xuhua Yang et al.
  1.89
• Recommendations by Concise User Profiles from Review Text (2023)
  Ghazaleh Haratinezhad Torbati et al.
  1.87
• Hybrid Cold-Start Recommender System for Closure Model Selection in Multiphase Flow Simulations (2026)
  S. H\"ansch and A. Sajdokov\'a and A. R\k{e}bowski and F. Mi\v{s}ka\v{r}\'ik and K. Ramakrishna and F. Schlegel and V. Ryb\'a\v{r} and R. Alves and P. Kord\'ik
  1.78
• Trinity: A Scenario-Aware Recommendation Framework for Large-Scale Cold-Start Users (2026)
  Wenhao Zheng et al.
  1.72
• Entropy Guided Diversification and Preference Elicitation in Agentic Recommendation Systems (2026)
  Dat Tran et al.
  1.72
• Disentangled Interest Network for Out-of-Distribution CTR Prediction (2026)
  Yu Zheng et al.
  1.67
• Dynamic Prior Thompson Sampling for Cold-Start Exploration in Recommender Systems (2026)
  Zhenyu Zhao et al.
  1.67
• Reasoning-guided Collaborative Filtering with Language Models for Explainable Recommendation (2026)
  Fahad Anwaar et al.
  1.67
• Enhancing Bandit Algorithms with LLMs for Time-varying User Preferences in Streaming Recommendations (2026)
  Chenglei Shen et al.
  1.67
• Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? (2026)
  Mingqiao Zhang et al.
  1.67
• Latent Geometry of Taste: Scalable Low-Rank Matrix Factorization for Recommender Systems (2026)
  Joshua Salako
  1.61
• Hierarchical Contextual Uplift Bandits for Catalog Personalization (2026)
  Anupam Agrawal et al.
  1.61
• Guiding the Recommender: Information-Aware Auto-Bidding for Content Promotion (2026)
  Yumou Liu et al.
  1.61
• Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation (2025)
  Wei Yang et al.
  1.56
• LLM-Empowered Representation Learning for Emerging Item Recommendation (2025)
  Ziying Zhang et al.
  1.56
• AdaRec: Adaptive Recommendation with LLMs via Narrative Profiling and Dual-Channel Reasoning (2025)
  Meiyun Wang and Charin Polpanumas
  1.50
• CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling (2025)
  Yiming Zhao et al.
  1.50
• E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems (2025)
  Rui Xue et al.
  1.50
• Safely Exploring Novel Actions in Recommender Systems via Deployment-Efficient Policy Learning (2025)
  Haruka Kiyohara et al.
  1.44
• From What to Why: Thought-Space Recommendation with Small Language Models (2025)
  Prosenjit Biswas and Pervez Shaik and Abhinav Thorat and Ravi Kolla and Niranjan Pedanekar
  1.44
• Cross-attention Secretly Performs Orthogonal Alignment in Recommendation Models (2025)
  Hyunin Lee et al.
  1.44
• Inductive Transfer Learning for Graph-Based Recommenders (2025)
  Florian Gr\"otschla et al.
  1.44
• RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations (2025)
  Chang Xue et al.
  1.39
• Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users (2025)
  Haowei Yang et al.
  1.39
• Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation (2025)
  Christian Ganh\"or et al.
  1.39
• A hierarchy tree data structure for behavior-based user segment representation (2025)
  Yang Liu et al.
  1.33
• LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems (2025)
  Jinzhi Wang et al.
  1.28
• Radial Neighborhood Smoothing Recommender System (2025)
  Zerui Zhang et al.
  1.28
• AUV-Fusion: Cross-Modal Adversarial Fusion of User Interactions and Visual Perturbations Against VARS (2025)
  Hai Ling and Tianchi Wang and Xiaohao Liu and Zhulin Tao and Lifang Yang and Xianglin Huang
  1.28
• FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations (2025)
  Zhizhong Tan et al.
  1.17
• IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval (2025)
  Youngjune Lee et al.
  1.11
• The Universal Recommender (2009)
  J\'er\^ome Kunegis et al.
  —
• Solving the Cold-Start Problem in Recommender Systems with Social Tags (2010)
  Zi-Ke Zhang et al.
  —
• Multi-Domain Collaborative Filtering (2012)
  Yu Zhang et al.
  —
• Extracting Geospatial Preferences Using Relational Neighbors (2012)
  Leandro Balby Marinho et al.
  —
• Promotional effect on cold start problem and diversity in a data characteristic based recommendation method (2012)
  Tian Qiu et al.
  —
• A two-step Recommendation Algorithm via Iterative Local Least Squares (2012)
  Jinhu Liu et al.
  —
• A Random Walk Based Model Incorporating Social Information for Recommendations (2012)
  Shang Shang et al.
  —