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Period ending 2026-09-21

13 new papers

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7 new papers

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  1. Auditing Semantic Gains in Sequential Recommendation: A Lightweight Recovery Test

    Aug 2, 2026Kong Wang, Zhongke He, Xiang Chen +4Sequential RecommendationAlgorithm Auditing

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

    Jul 31, 2026Junquan Hu, Zhihui Wang, Peng Xu +4PolymerMolecular Property Prediction

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

    Jul 31, 2026Haoran Ling, Yuecheng Li, Zeyu Song +5Large-Scale Recommendation SystemsReranking

  4. GALA: Generative Aligned Learning for Adaptive Multimodal Representation in the Taobao Shangou Recommender System

    Jul 31, 2026Jiping Liu, Zhongmin Zhang, Zisen Sang +7Multimodal RecommendationMulti-Modal Representation Learning

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

    Jul 31, 2026Huanyu Liu, Baining Chen, Hui Liu +2Multimodal RecommendationMultimodal Embeddings

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

    Jul 31, 2026Seungho Han, Byeongchang Kim, Jin YuContrastive LearningLarge-Scale Recommendation Systems

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

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

  8. Hierarchical Latent Reasoning for LLM-based Recommendation

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

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

    Jul 30, 2026Yuxin Chen, Liang Luo, Buyun Zhang +44Large-Scale Recommendation SystemsRecommender Systems

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

    Jul 29, 2026Finn HertschLarge-Scale Recommendation SystemsCold-Start

  11. WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models

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

  12. ClockRoPE: Random Fourier Rotations for Temporal Routine Modeling

    Jul 29, 2026Yiwen Chen, Joshua Ainslie, Krzysztof Choromanski +4Rotary Position EmbeddingSequence Modeling

  13. Nudging Sustainable Choices through LLM-Generated Recommendation Explanations

    Jul 28, 2026Haya Halimeh, Dietmar Jannach, Oliver MüllerRecommendationSustainability

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

    Jul 28, 2026He Ma, Chen LiuLarge-Scale Recommendation SystemsSequential Recommendation

  15. MARS: Multi-Agent Re-ranking for Repeat-Order Food Delivery Recommendation

    Jul 28, 2026Jiahao Tian, Zhenkai WangRecommendationReranking

  16. Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation

    Jul 28, 2026Huwei Ji, Jiajie Su, Yuyuan Li +2Multimodal RecommendationContinual Model Merging

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

    Jul 28, 2026Deyao Hong, Kehan Zheng, Qian Li +3RecommendationAgentic Commerce

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

    Jul 28, 2026Ziyu Zheng, Zhengshun Du, Yaming Yang +5Large-Scale Recommendation SystemsRecommendation

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

    Jul 28, 2026Shutong Qiao, Wei Yuan, Tong Chen +3RecommendationLarge Language Model Generation

  20. How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness

    Jul 27, 2026Bhavtosh RathLarge Language Model RoutingRecommendation

  21. Understanding Semantic IDs: From Item Representation to Item Selection in Generative Recommendation

    Jul 27, 2026Junting Wang, Xinrui He, Yunzhe Li +1RecommendationIntrusion Detection

  22. Integrating Factual and Normative Industrial Knowledge via Constraint-Aware Graph Attention for Process Plan Recommendation

    Jul 27, 2026Yuntong Chen, Yingqi Li, Yingying Xiao +5Collaborative FilteringPlanning Methods

  23. SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation

    Jul 27, 2026Yu Cui, Yi Xu, Jiahao Wang +6Transformer AttentionRecommendation

  24. MEMOIR: Temporal Behavioral Memory for Recommendation Across the Preference-Drift Spectrum

    Jul 27, 2026Younggue BaeRecommendationInteraction History

  25. Tokens are All You Need: Dual-purpose Semantic IDs for Achieving LLM-Level I/O Efficiency in recommendation systems

    Jul 26, 2026Baolei Li, Yiping Yuan, Yilin Zheng +6Large-Scale Recommendation SystemsSequential Recommendation

  26. Escaping the Euclidean Void: Manifold-Informed Flow Matching for Sequential Recommendation

    Jul 26, 2026Dengzhao Fang, Jingtong Gao, Yu Li +2Sequential RecommendationRectification

  27. CALMRec: Causally Aligned Language Memory for Long-Horizon Recommendation

    Jul 26, 2026Gengyu ZhanRecommendationMemory Retrieval

  28. A scalable online machine learning approach for Stock Recommendation

    Jul 25, 2026Harsh NagarkarLarge-Scale Recommendation SystemsRecommendation

  29. Two Views, One Voice: Evidence-Grounded Conversational Music Recommendation

    Jul 24, 2026Sungwook Yoo, Sewook YooRecommendationConversational Music Recommendation

  30. REPREC: Representation Driven Parameter-Efficient Recommendation System

    Jul 24, 2026Harshini Kavuru, Dwipam Katariya, Giri Iyengar +3Sequential RecommendationReranking

  31. PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest

    Jul 24, 2026Olafur Gudmundsson, Bo Zhao, Huayi Liao +15Recommender SystemsFunnel Efficiency

  32. Efficient Recommendations via Graph Coarsening and Label Propagation

    Jul 24, 2026Alessandro Sbandi, Federico Siciliano, Fabrizio SilvestriGraph Neural NetworksRecommendation

  33. StARS: Socially Appropriate Robot Actions via a Recommender System-Driven Approach

    Jul 23, 2026Erencem Ozbey, Fethiye Irmak Dogan, Jin Huang +1Human-Robot InteractionExecutable Robot Behavior

  34. Can Generative Recommendation Reach Cold Items? A Temporal Perspective on Semantic-ID Generation

    Jul 23, 2026Jie Peng, Yanping Zheng, Zhewei Zhe +3RecommendationRecommender Systems

  35. Cardinality-Decomposed Loss: Matching Training Objectives to Relation Structure in Heterogeneous Recommendation Graphs

    Jul 22, 2026Parul Maheshwari, Amulya Paruchuri, Yiqing Zou +3Multimodal RecommendationGraph Representations

  36. Zero-Observation User Reactivation with Gap-Driven Dimensional Gating

    Jul 22, 2026Jiandong Ding, Tianying Liu, Fuyuan Liu +2Sequential Recommendation

  37. Personalized Recommendation Tool Learning via Autonomous Language Agents

    Jul 22, 2026Mingdai Yang, Zhiwei Liu, Weizhi Zhang +3Large-Scale Recommendation SystemsLlm-Based Agent

  38. Empowering Cross-Domain Sequential Recommendation with Hybrid Tokenization and Serial-Parallel Decoding

    Jul 21, 2026Yuxuan Hu, Yuhao Wang, Tianbo Huang +4Multimodal RecommendationSequential Recommendation

  39. Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation

    Jul 21, 2026Yongsen Zheng, Ruilin Xu, Guohua Wang +2RecommendationMatrix Factorization

  40. HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation

    Jul 20, 2026Yongsen Zheng, Ruilin Xu, Ziliang Chen +4Recommender SystemsRecommendation

  41. WHALE: A Scalable Unified Model for Recommendation with Wukong-HSTU Architecture

    Jul 19, 2026Renqin Cai, Dawei Sun, Yuanjun Yao +8RecommendationHigher-Order Correlations

  42. Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning

    Jul 15, 2026Dingsu Wang, Filip Ryzner, Kelly He +12Recommender SystemsAnalytics

  43. Can We Steer the Black-Box? Towards Controllability-Centric Evaluation of Recommender Systems with Collaborative Agents

    Jul 15, 2026Jiwen Zhou, Xiang Liu, Mingming Li +5Recommender SystemsSequential Recommendation

  44. Privacy Preserving Recommender Systems Balancing Personalization with Privacy

    Jul 14, 2026Ranjeet K Jha, Venkata Suresh GummadilliAI Privacy Risks and ProtectionRecommendation

  45. MESH: Scaling Up Retrieval with Heterogeneous Content Unification

    Jul 14, 2026Jiaxing Qu, Yilin Chen, Junpeng Hou +4Recommender SystemsNeural Scaling Laws

  46. Agentic systems for breast cancer treatment recommendations

    Jul 13, 2026Vinicius Anjos de Almeida, Nícolas Henrique Borges, Leonardo Vicenzi +5Clinical Decision SupportAgentic Systems

  47. SISA-Rec: A Semantically Integrated Sequential Recommender with Contrastive Alignment

    Jul 13, 2026Soohan Abbasi, Shahid Munir Shah, Rafia Shaikh +1Multimodal RecommendationInformation Retrieval Metrics

  48. MMRM: A Multiplex Multimodal Representation Model for Product Ranking in E-commerce Search

    Jul 13, 2026Zhen-Lin Chen, Maosen Sheng, Peng Lin +4Multimodal RecommendationMulti-Modal Representation Learning

  49. Normative Alignment of Recommender Systems via Internal Label Shift

    Jul 12, 2026Johannes Kruse, Kasper Lindskow, Michael Riis Andersen +4Recommender SystemsPreference Alignment

  50. ZoRRO: A Zero-Weight Personalized Recommender System for Scalable News Recommendation

    Jul 12, 2026Johannes Kruse, Ryotaro Shimizu, Kasper Lindskow +4Recommender SystemsHeadlines

  51. RecRec: Recursive Refinement for Sequential Recommendation

    Jul 12, 2026Pervez Shaik, Prosenjit Biswas, Abhinav Thorat +2Sequential RecommendationRecommendation

  52. Is Model Instability just Noise to be Tolerated or a Property that can be Managed?

    Jul 11, 2026Amirali Rayegan, Lunxiao Li, Tim MenziesInstabilityStatistical Models

  53. Consensus vs. Dissent: Dynamic LLM Modeling of Subjective Preferences in Group Recommenders

    Jul 11, 2026Cedric Waterschoot, Nava Tintarev, Francesco BarileRecommendationLarge Language Model Judges

  54. An LLM-powered Agentic Recommendation System for Connected TV Content Discovery

    Jul 10, 2026Lei Shi, Di Wang, Harry Tran +16RecommendationLlm-Driven

  55. A Knowledge-Based Multi-Agent Framework for Security Control Recommendation

    Jul 10, 2026Carolina Fernández-Martínez, Shuaib Siddiqui, Vanesa DazaSecurityCybersecurity

  56. RouteRec: Strict Evaluation of Recommender-Agent Selection and Aggregation

    Jul 10, 2026Kaiji Zhou, Vladimir Kalmykov, Yue FengRecommendationReranking

  57. Serving the Long Tail: Training-Free LLM Candidate Generation for Vacation Rental Marketplaces

    Jul 10, 2026Syed Mohammed Arshad Zaidi, Eric Rincon, Shayan HassantabarCollaborative FilteringApproximate Nearest-Neighbor Search

  58. MLPTR-CC: Multi-label Pathology Test Recommendation using Classifier Chains and SHAP

    Jul 9, 2026Abu Rafe Md Jamil, Nayan MalakarDisease DetectionModel Interpretability

  59. PIT-SUN: A Deployable Empirical Marginal Transform Framework with Expectation-Consistent Recovery for Regression in Recommender Systems

    Jul 9, 2026Mingyu Zhao, Zhaohan Li, Zhenxiong Miao +4PosteriorEstimators

  60. Multimodal Video-to-Music Recommendation via Semantic Retrieval and Temporal Reranking

    Jul 7, 2026Seungheon Doh, Minhee Lee, Sangmoon Lee +2Multimodal RetrievalMusic Understanding