Recommendation

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Period ending 2026-09-14

7 new papers

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Period ending 2026-09-07

9 new papers

A weekly snapshot of new work published in Recommendation.

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  1. Generative Query Suggestion via Intent Coverage and Query-Level Credit Assignment

    Sep 16, 2026Xinpeng Liu, Lu Ma, Jiayi Qiao +6Recommendation ArchitectureAnswer Generation

  2. Whom Do AI Agents Work For? Role Assignment Induces Sponsorship Bias in LLM Recommenders

    Sep 16, 2026Davood Wadi, Yu MaAgentic CommerceProgressive Disclosure

  3. Self-Evolving Memory for Generative Recommendation

    Sep 14, 2026Xinyu Lin, Zhuosong Jiang, Zixiao Suo +12Recommendation Architecture

  4. Generate to Explore, Select to Exploit: Aligning LLM-based Headline Generation with Personalized Recommendation

    Sep 14, 2026Yi Chen, Rufeng Cheng, Qiang Xie +1Recommendation ArchitectureLarge Language Model Personalization

  5. On the Regularization Landscape for the Linear Recommendation Models

    Sep 12, 2026Dong Li, Zhenming Liu, Ruoming Jin +4Recommender SystemsLow-Rank Factorization

  6. Auto-RecSys: Harnessing Autonomous Research Agents for Industry-Scale Recommender System

    Sep 11, 2026Ming Li, Dai Li, Xuying Ning +11AutoresearchRecommender Systems

  7. An Efficient and Effective Agentic Group Shilling Attack on Recommender Systems

    Sep 9, 2026Quoc Viet Nguyen, Trinh Pham, Viet Huynh +4Recommender SystemsAgentic AI Systems

  8. SequenceO1: End-to-End Ultra-Long (100K) Sequence Modeling in Recommendation with Low-Rank Caching

    Sep 8, 2026Lin Guan, Jia-Qi Yang, Zhishan Zhao +15Recommender SystemsSequence Modeling

  9. Exploring Bottom-Up Clustering for Creating Semantic IDs

    Sep 8, 2026Leah Woldemariam, Sudhanshu Garg, Taha Belkhouja +2Recommendation ArchitectureBottom-Up Framework

  10. Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHD

    Sep 7, 2026Vedad Misirlic, Gregor Mayr, Elisabeth LexRecommender SystemsAutism Spectrum Disorder

  11. Continual Graph Memory for Adaptive Recommendation under Intent Drift

    Sep 7, 2026Hao Nguyen Ngoc, Tung Nguyen, Nguyen Thi Hanh +2Hierarchical Graph MemoryRecommendation Quality

  12. Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence

    Sep 4, 2026Urja Pawar, Rajitha Ramanayake, Nabeel Kemal +6ExplanationsLarge Language Model Reliability

  13. Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable

    Sep 3, 2026Shai Vardi, João SedocLarge Language Model ReliabilityEpistemic States

  14. EPIC: Explicit Posterior Item Conditioning for Semantic ID Diffusion Recommendation

    Sep 3, 2026Tuan-Binh Tran, Thanh Tam Nguyen, Quoc Viet Hung Nguyen +3Recommendation ArchitectureRecommendation

  15. From Language to Behavior: Scaling Sequence Transformers for Industrial Recommendation Ranking with Rec-Native Designs

    Sep 1, 2026Jie Chen, Xiangqian Yu, Yanchao Lian +9Transformer VariantRecommendation

  16. Does This Moment Justify the Recommendation? Counterfactual Behavior-Grounded Evidence Retrieval for Personalized Video Recommendation

    Sep 1, 2026Xin LiuVideo Temporal GroundingFine-Grained Video Understanding

  17. RPCBench: A Benchmark for Proactive Premise Critique in LLM-based Recommendation

    Sep 1, 2026Zhongru Chen, Yuan Wu, Yi ChangRecommendation QualityRecommendation

  18. Preference Shapes Relevance: Cross-component Hierarchical Semantic Alignment for Personalized Generative Retrieval

    Aug 31, 2026Gaoming Zhang, Angqing Jiang, Jianchun Song +4Recommendation ArchitectureHierarchical Semantic Alignment

  19. SemPOI-RL: Aligning LLM Semantic Reasoning for Interpretable Out-of-Town POI Sequential Generation

    Aug 31, 2026Yunqi Liu, Yang Zhang, Ruixing Zhang +4Recommendation ArchitectureTour

  20. Beyond Ranking Accuracy: Evaluating LLM-Cited Feature Rationales for Next Basket Repurchase Recommendation

    Aug 31, 2026Yanan Cao, Anay Dombe, Murali Mohana Krishna Dandu +5Recommendation QualityGeneralizable Ranking Purpose

  21. Recovering Expert Critic-Sourced Network Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity Approach

    Aug 27, 2026Elena Badillo-Goicoechea, Fengfeng HeCollaborative FilteringMusical Structure

  22. The Lifecycle of LLM-as-a-Judge for Large-Scale Recommendation Explanations

    Aug 18, 2026Emma Yanyang Kong, JJ Tan, Ishan Gupta +8Llm-As-A-JudgeJudges

  23. Dear Algo: A Precision-First Agentic Intent Layer for Unified Search and Recommendation

    Aug 16, 2026Rui Wang, Jiazhou Wang, Zheng Wei +16RecommendationAgentic Search

  24. FSGR: Mitigating Token Frequency Bias for Fair SID-Based Generative Recommendation

    Aug 13, 2026Yuchen Zheng, Sihan Xu, Jingwen Yang +3Recommendation ArchitectureFairness-Aware Learning

  25. HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs

    Aug 12, 2026Kangning Zhang, Haotian Fang, Xukun Luo +6Recommendation ArchitectureUnified Generative Framework

  26. Learning from Online User Feedback for Shopping Agents

    Aug 12, 2026Haobo Zhang, Kelong Mao, Sulong Xu +2Agentic CommerceNatural Language Feedback

  27. From Prompting to Behavioral Alignment: Personalized LLM Judges for Recommendation Evaluation

    Aug 11, 2026Alireza S. Ziabari, Kat Ellis, Colleen Chan +1Recommendation QualityLarge Language Model Evaluation

  28. Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces

    Aug 11, 2026Mengyu Chen, Feiyu Lu, Chun-Fu Chen +2Recommender SystemsPersonality

  29. Batch Size or Negatives? A Selection Rule for Memory-Constrained Recommender Training

    Aug 11, 2026Artyom Sabitov, Daniil Volkov, Alexey ZaytsevRecommender SystemsBatch Size

  30. FedCGR: Federated Cross-Domain Generative Recommendation

    Aug 11, 2026Zhuodong Liu, Hugen Lv, Xiangyu Li +2Collaborative FilteringFedavg

  31. Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging

    Aug 11, 2026Linh Dieu Le, Tong Chen, Shazia Sadiq +3Continual Model MergingRecommender Systems

  32. DualSpectralCF: Training-Free Sign-Aware Spectral Collaborative Filtering

    Aug 10, 2026Guanqun Yang, Tong Qi, Xiaoxue HanCollaborative FilteringSpectral Algorithms

  33. Sequential Modality Dropout for Robust Multi-Modal Sequential Recommendation

    Aug 10, 2026Guanqun Yang, Wenlong ZhangDropoutRecommendation

  34. From Prediction to Incrementality: Causal Optimization for Large-Scale Targeting and Recommendation

    Aug 10, 2026Changshuai Wei, John Bencina, Phuc Nguyen +2Causal InferencesHeterogeneous Treatment Effects

  35. Adaptive Semantic Capacity Allocation for Parallel Generative Recommendation

    Aug 10, 2026Chenxi Li, Yuchen Lu, Xu YangRecommendation ArchitectureUnified Generative Framework

  36. UniMoMo: Expert Merging-Based MoE Acceleration for Large Recommendation Models

    Aug 9, 2026Lei Xin, Bin Gu, Peize Li +8Cold Mixture-Of-Expert ModelsExperts

  37. Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders

    Aug 8, 2026Chan Aristella Lu, Arya Fayyazi, Junhao Zhang +6Fairness AuditsLarge Language Model Bias

  38. Preserving Item Semantics for Free: Rethinking Token Initialization in LLM-Based Generative Recommendation

    Aug 7, 2026Donald Loveland, Liam Collins, Bhuvesh Kumar +2Recommendation ArchitectureNeural Tokens

  39. Progressive Alignment of Recommender Foundation Model through Multi-Phase Post-Training

    Aug 7, 2026Oseong Choi, Hoeinn Kim, Jihoon Lee +2Wireless Foundation ModelsRecommendation Quality

  40. LangChoiceBench: Measuring and Explaining Programming-Language Choice in LLMs

    Aug 6, 2026Lukas Twist, Twm Stone, Helen Yannakoudakis +1Large Language Model BenchmarksRecommendation Quality

  41. Conditionally Identifiable Latent-Environment Modeling for Out-of-Distribution Recommendation

    Aug 4, 2026Qianqian Wang, Wenwu Gong, Yunshan Li +3Recommender SystemsRecommendation

  42. Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity

    Aug 4, 2026Anjun Hu, Hanting Xie, Saranya Govindan +2Collaborative FilteringDecentralized Multi-Agent System

  43. UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval

    Aug 4, 2026Shujie Ji, Yawei Kong, Yilin Zhao +3Recommendation ArchitectureUnified Generative Framework

  44. X-KGRank: A Knowledge Graph RAG Framework for Explainable Recommendations via Pattern Mining and LLM Re-Ranking

    Aug 3, 2026Meenakshi Rajpurohit, Jainish PatelCollaborative FilteringRecommendation Quality

  45. UniPolymer: A Unified Framework for Property Prediction, Structure Recommendation, and Evaluation in Polyimide Design

    Jul 31, 2026Junquan Hu, Zhihui Wang, Peng Xu +4PolymerThermodynamics

  46. RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems

    Jul 31, 2026Haoran Ling, Yuecheng Li, Zeyu Song +5Recommender SystemsBandits

  47. PaletteID: Prototype-Composed Semantic Identifiers for Multimodal CTR Prediction

    Jul 31, 2026Huanyu Liu, Baining Chen, Hui Liu +2Multimodal EmbeddingsRecommendation Architecture

  48. Don't Contrast the Impossible: Region-Constrained Batching for Contrastive User Modeling on a Local Community Platform

    Jul 31, 2026Seungho Han, Byeongchang Kim, Jin YuUser ModelingContrastive Learning

  49. Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation

    Jul 30, 2026Long Zhang, Hao Jiang, Sheng Yu +3Recommendation ArchitectureRecommendation

  50. Hierarchical Latent Reasoning for LLM-based Recommendation

    Jul 30, 2026Peiyu Hu, Siying Gu, Weihai Lu +8RecommendationPreference Pairs

  51. ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation

    Jul 30, 2026Yuxin Chen, Liang Luo, Buyun Zhang +44Recommender Systems

  52. Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study

    Jul 30, 2026Di Bai, Jintao Liu, Zhenwei Tang +3Recommender SystemsRecommendation Architecture

  53. OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval

    Jul 29, 2026Ziwei Li, Shuyao Li, Xufeng Cai +12Recommender SystemsMulti-Hop Retrieval

  54. Kairos: Numerically Robust News Recommendation under Item Cold-Start via Cholesky-based LinUCB

    Jul 29, 2026Finn HertschRecommender SystemsCold-Start

  55. WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models

    Jul 29, 2026Hao Jiang, Peiru Du, Pengfei Yao +10Latent ReasoningWireless Foundation Models

  56. Nudging Sustainable Choices through LLM-Generated Recommendation Explanations

    Jul 28, 2026Haya Halimeh, Dietmar Jannach, Oliver MüllerRecommendation QualitySustainability

  57. TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation

    Jul 28, 2026He Ma, Chen LiuRecommender SystemsGraph-Based Retrieval Augmented Generation

  58. The User Asks, Platforms Compete: How Agentic Recommendation Markets Take Shape

    Jul 28, 2026Deyao Hong, Kehan Zheng, Qian Li +3Recommender SystemsRecommendation

  59. TopoGR: Revealing and Preserving Latent Structure of Semantic ID in Generative Recommendation

    Jul 28, 2026Ziyu Zheng, Zhengshun Du, Yaming Yang +5Recommendation ArchitectureSemantic Relationships

  60. VaLiDRec: Variable-Length LLM-Aligned Semantic IDs for Generative Recommendation

    Jul 28, 2026Shutong Qiao, Wei Yuan, Tong Chen +3RecommendationUnified Generative Framework