Key papers

• RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational Recommenders (2025)
  Zhongheng Yang et al.
  7.99
• Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework (2026)
  Xiping Li et al.
  7.02
• Dialogue to Discovery: Attribute-Aware Preference Elicitation for Conversational Product Search Assistants (2026)
  Sarthak Harne et al.
  6.11
• STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning (2025)
  Chenghao Wu et al.
  5.04
• Memory Layer: Train the In-Model Cache for Recommendation Models (2026)
  Liangyuan Na et al.
  4.95
• Grevo: A Unified Generative Recommendation Framework with Evolutionary Item Indexing (2026)
  Huanjie Wang et al.
  4.95
• Hypothesis-Driven Shelf Generation for Personalised Recommendation (2026)
  Aleksandr V. Petrov et al.
  4.95
• Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation (2025)
  Jiang Zhang et al.
  4.93
• Designing Recommendation Exposure and Favorite Lists: A Field Experiment in a Spot-Work Platform (2026)
  Kazuki Sekiya et al.
  4.90
• Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits (2025)
  Maoli Liu et al.
  4.87
• Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations (2025)
  Yuguang Liu et al.
  4.64
• Trust-Aware Citation Cartel Ranking in Scholarly Knowledge Graphs (2026)
  Pratyush Gupta et al.
  4.33
• Multilingual Semantic Retrieval for Apple Music Search (2026)
  Vishalaksh Aggarwal et al.
  4.33
• What Would You Click? Personalized Video Thumbnail Generation with Preference-aware Highlight Retrieval (2026)
  Zhiyu He et al.
  4.33
• SciClaimSeekers at CheckThat! 2026: Retrieving Scientific Sources for Social Media Claims with LLM Reranking (2026)
  Mohotarema Rashid et al.
  4.33
• Ranked by Position: Order Sensitivity as an Exploitable Attack Surface in LLM Listwise Recommenders (2026)
  Ge Zhang et al.
  4.33
• Structure-aware Relative Policy Optimization for Ranking (2026)
  Yiteng Tu et al.
  4.33
• Reward Guided Decoding for Generative Recommendation (2026)
  Ruochen Yang et al.
  4.33
• MARS: Multi-Agent Re-ranking for Repeat-Order Food Delivery Recommendation (2026)
  Jiahao Tian et al.
  4.33
• LeAP: Learnable Adaptive Permutation for Feature Selection in Heterogeneous and Sparse Recommender Systems (2026)
  Yihong Huang et al.
  4.27
• When Does Latent Reasoning Help? MeRa: Metric-Space Bias for Spatial Prediction (2026)
  Zhenyu Yu et al.
  4.27
• DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction (2026)
  Reazul Hasan Russel et al.
  4.27
• Right-Sizing Communication and Recommendation Set Size in AI-Assisted Search (2026)
  Jing Dong et al.
  4.22
• RAGEAR: Retrieval-Augmented Graph-Enhanced Academic Recommender (2026)
  Francesco Granata et al.
  4.22
• Time-Constrained Recommendations: Reinforcement Learning Strategies for E-Commerce (2025)
  Sayak Chakrabarty and Souradip Pal
  4.09
• STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation (2025)
  Zhenye Yang et al.
  3.86
• SIDE: Semantic ID Embedding for effective learning from sequences (2025)
  Dinesh Ramasamy et al.
  3.75
• Entire Space Counterfactual Learning for Reliable Content Recommendations (2022)
  Hao Wang et al.
  3.58
• Scientific Code Search at Scale: A Multi-Domain Dataset and Benchmark (2026)
  Nishan Pantha et al.
  3.45
• Prompting Beats Fine-Tuning: Generative Expected Value Scoring for Statutory Term Retrieval (2026)
  Alvin Wang et al.
  3.45
• Retrieving a Set, Not Independent Passages: Set-Level Compatibility Learning for Efficient Set Exploration (2026)
  Mooho Song et al.
  3.45
• SCOReD: Student-Aware CoT Optimization for Recommendation Distillation (2026)
  Haz Sameen Shahgir et al.
  3.45
• InfluMatch: Frontier-Quality KOL Search at 4B-Model Cost (2026)
  Krittanon Kaewtawee et al.
  3.45
• Large language models create an uneven informational layer over cities (2026)
  Lin Chen et al.
  3.45
• Transforming LLMs into Efficient Cross-Encoders via Knowledge Distillation for RAG Reranking (2026)
  Shreeya Dasa Lakshminath et al.
  3.45
• Explaining When PRF Fails: Participatory Auditing for Selective Query Expansion (2026)
  Zeyan Liang et al.
  3.45
• Not Only NTP: Extending Training Signal Coverage for Generative Recommendation (2026)
  Changhao Li et al.
  3.45
• SlimPer: Make Personalization Model Slim and Smart (2026)
  Siqi Wang et al.
  3.45
• MESH: Scaling Up Retrieval with Heterogeneous Content Unification (2026)
  Jiaxing Qu et al.
  3.45
• Cheaper is Better: A Discount-Aware Network for Conversion Rate Prediction in E-commerce Recommendation System (2026)
  Ruocong Tang et al.
  3.45
• Towards Vision-Free CIR: Attribute-Augmented Scoring and LLM-Based Reranking for Zero-Shot Composed Image Retrieval (2026)
  Ryotaro Shimada et al.
  3.45
• Learning to Forget: Satiation-Aware Long-Sequence Transducers for Mitigating Post-Purchase Redundancy (2026)
  Yipin Dai et al.
  3.45
• Scaling Dense Retrieval with LLM-Annotated Training Data: Structured Mining and Progressive Curriculum for E-Commerce Sponsored Search (2026)
  Md Omar Faruk Rokon et al.
  3.39
• Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs (2026)
  Tianyu Ding et al.
  3.39
• PETRA: Transforming Web Text for Petroleum-Engineering Domain Adaptation (2026)
  Kirill Dubovikov (Mohamed bin Zayed University of Artificial Intelligence) et al.
  3.39
• Language Ranker: A Lightweight Ranking framework for LLM Decoding (2025)
  Chenheng Zhang et al.
  3.04
• ACT: Automated Constraint Targeting for Multi-Objective Recommender Systems (2025)
  Daryl Chang et al.
  2.99
• A Metric for MLLM Alignment in Large-scale Recommendation (2025)
  Yubin Zhang et al.
  2.93
• Orthogonal Low Rank Embedding Stabilization (2025)
  Kevin Zielnicki and Ko-Jen Hsiao
  2.93
• Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation (2025)
  Seongeun Ryu et al.
  2.93
• Multi-User Contextual Cascading Bandits for Personalized Recommendation (2025)
  Jiho Park et al.
  2.93
• Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs (2025)
  Yushang Zhao et al.
  2.87
• Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations (2025)
  Jiin Woo et al.
  2.87
• Personalized Education with Ranking Alignment Recommendation (2025)
  Haipeng Liu et al.
  2.87
• Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation System (2025)
  Chao Wang et al.
  2.82
• Interactive Visualization Recommendation with Hier-SUCB (2025)
  Songwen Hu et al.
  2.60
• Personalized Negative Reservoir for Incremental Learning in Recommender Systems (2024)
  Antonios Valkanas et al.
  2.10
• SkillSelect-Serve: QoS-Aware Budgeted Skill Service Recommendation for LLM Agents (2026)
  Jingyuan Zheng et al.
  1.94
• Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning (2026)
  Dingsu Wang et al.
  1.94
• Agentic Recommender System with Hierarchical Belief-State Memory (2026)
  Xiang Shen et al.
  1.89