Key papers

• MemSyco-Bench: Benchmarking Sycophancy in Agent Memory (2026)
  Zhishang Xiang et al.
  11.13
• Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation (2025)
  Han Liu et al.
  9.82
• TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation (2025)
  Jiaqing Zhang et al.
  7.71
• ZeroMat: Solving Cold-start Problem of Recommender System with No Input Data (2021)
  Hao Wang
  7.12
• LightGNN: Simple Graph Neural Network for Recommendation (2025)
  Guoxuan Chen et al.
  7.08
• Comprehensive List Generation for Multi-Generator Reranking (2025)
  Hailan Yang et al.
  6.89
• De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems (2025)
  Robin Burke et al.
  6.30
• What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems (2025)
  Brett Binst et al.
  5.70
• RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs (2025)
  Zhongtian Sun et al.
  5.52
• IntentTune: Using user demand and personalization to resolve "unknown" query intents for e-commerce search (2026)
  Rachith Aiyappa et al.
  5.49
• Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation (2025)
  Raoul Kalisvaart et al.
  5.24
• VOGUE: A Multimodal Dataset for Conversational Recommendation in Fashion (2025)
  David Guo et al.
  5.21
• Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis (2024)
  Lanling Xu et al.
  5.18
• Denoising Neural Reranker for Recommender Systems (2025)
  Wenyu Mao et al.
  5.15
• When RAG Meets Query Planning: Logical Query Trees for Resolving Exploratory Reasoning Problems (2026)
  Ganlin Xu et al.
  5.01
• ExPerT: Personalizing LLM Responses to Users' Domain Expertise via Query-Wise Semantic and Keystroke Behavioral Cues (2026)
  Yeji Park et al.
  5.01
• STRUCTSURVEY: Structured Agentic Retrieval for Automated Survey Paper Generation (2026)
  Paolo Pedinotti et al.
  5.01
• Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study (2026)
  Andrea Gerardo Russo et al.
  5.01
• Office Comprehension Benchmark (2026)
  Firoz Shaik et al.
  5.01
• Embedding Inference Attack (2026)
  Cedric Fitiavana Raelijohn et al.
  5.01
• Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search (2026)
  Longfeng Wu et al.
  5.01
• CoPersona: Collaborative Persona Graphs for Robust LLM Personalization (2026)
  Yangtian Zhang et al.
  5.01
• Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts (2026)
  Valentin J. J. Kreileder et al.
  5.01
• Planning over Matrix-Factorization MDPs for Candidate Generation (2026)
  Mikhail Trapeznikov et al.
  5.01
• Bringing Agentic Search to Earth Observation Data Discovery (2026)
  Minghan Yu et al.
  5.01
• Topology-Aware Tokenization for Generative Recommendation (2026)
  Yaokun Liu et al.
  5.01
• AutoIndex: Learning Representation Programs for Retrieval (2026)
  Sam O'Nuallain et al.
  5.01
• Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation (2026)
  Yongsen Zheng et al.
  5.01
• PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID (2026)
  Xiao Wang et al.
  5.01
• An Epistemic Position-Based Click Model: From Interactions to Epistemic Distributions of Relevance and Bias (2026)
  Oscar Rolando Ramirez Milian et al.
  5.01
• Improvement Graph Convolution Collaborative Filtering with Weighted addition input (2025)
  Tin T. Tran et al.
  4.82
• Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search (2025)
  Matteo Attimonelli et al.
  4.53
• BaRA: Budget-constrained and Reliable Web Data Collection Agent (2026)
  Soojeong Lee et al.
  4.39
• Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory (2026)
  ZhiShu Jiang et al.
  4.39
• HNSW with Accuracy Guarantees Using Graph Spanners -- A Technical Report (2026)
  Minghao Li et al.
  4.39
• Exposure-Based Reinforcement Learning to Rank (2026)
  Harrie Oosterhuis et al.
  4.39
• RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency (2026)
  Dan Musetoiu
  4.39
• Beyond Noisy Signals: Dual-Level Denoising for Multi-modal Sequential Recommendation (2026)
  Jie Luo et al.
  4.39
• Answer-Reconstruction Search Density: Measuring the Query and Source Work Compressed by Conversational Answers (2026)
  Benjamin Tannenbaum
  4.39
• Biological Amnesia in ICU Time-Series Prediction: A Drift-Adaptive Two-Stream Architecture with Temporal Retrieval (2026)
  Fatema Ferdous Tamanna et al.
  4.39
• Spectral Biclustering-Driven Scalability for Post-Hoc Explainability in Recommender Systems (2026)
  Jose L. Salmeron et al.
  4.39
• Sequential Learner Modeling Using Multi-Relational Graph Convolutional Networks (2026)
  Rawaa Alatrash et al.
  4.39
• PAGE-RAG: Evidence-Grounded Adaptive Graph Retrieval for Long-Document Question Answering (2026)
  Xingyu Chen et al.
  4.39
• Ghost: Plausible Yet Unlearnable Trajectories via On-Manifold Substitution for Next-POI Privacy (2026)
  Zhenyu Yu et al.
  4.33
• Analysis of Autonomic Regulation in Cancer Survivors During Daily Physical Activity: A Real-World Wearable ECG Study (2026)
  Sajad Farrokhi et al.
  4.33
• Towards Critical IR Theories and Practices (2026)
  Bhaskar Mitra
  4.33
• Exploring the relationship between team institutional composition and novelty in academic papers based on fine-grained knowledge entities (2026)
  Ziling Chen et al.
  4.33
• Building a Multimodal Dataset of Academic Paper for Keyword Extraction (2026)
  Jingyu Zhang et al.
  4.33
• Usage frequency and application variety of research methods in library and information science: Continuous investigation from 1991 to 2021 (2026)
  Chengzhi Zhang et al.
  4.33
• Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations (2025)
  Jin Li et al.
  4.19
• A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization (2026)
  Tangtang Wang et al.
  3.92
• Fashion-AlterEval: A Dataset for Improved Evaluation of Conversational Recommendation Systems with Alternative Relevant Items (2025)
  Maria Vlachou
  3.86
• Tell Me the Good Stuff: User Preferences in Movie Recommendation Explanations (2025)
  Juan Ahmad et al.
  3.75
• Pre-training for Recommendation Unlearning (2025)
  Guoxuan Chen et al.
  3.75
• Widening the Role of Group Recommender Systems with CAJO (2025)
  Francesco Ricci and Amra Deli\'c
  3.70
• Discovery by Dreaming: Cross-Domain Recombination in Artificial Memory (2026)
  Oliver Zahn et al.
  3.51
• Fenced Citation-Context Retrieval for Case Law: Temporal Leakage and Degree Control Across Two Jurisdictions (2026)
  Yao Liu et al.
  3.51
• FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering (2026)
  Jijun Chi et al.
  3.51
• TSGR: Taobao Search Generative Retrieval (2026)
  Tianyu Zhan et al.
  3.51
• AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System (2026)
  Shubham Kumar Nigam et al.
  3.51