Recommender Systems

AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System AAAI 2026 AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation ACL 2026 AuditAgent: LLM Agent for Risks Auditing in Recommender Systems AAAI 2026 Beetrap-MC: A Minecraft-Based AI Literacy Tool for Teaching Filter Bubbles to Middle School Students AAAI 2026 Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders ACL 2026 ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation ACL 2026 Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine AAAI 2026 Drs.NAS: Ultra-Efficient Neural Architecture Search for Recommendation Systems OSDI 2026 Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing UAI 2026 EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems AAAI 2026 Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm ALT 2026 From ID to LLM: Rethinking Representation Learning for Recommendation ACL 2026 From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation ACL 2026 Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information AAAI 2026 Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendation ACL 2026 MemRec: Collaborative Memory-Augmented Agentic Recommender System ACL 2026 Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation ACL 2026 OneRec-Think: In-Text Reasoning for Generative Recommendation ACL 2026 Ranking Items from Discrete Ratings: The Cost of Unknown User Thresholds ALT 2026 Reasoning Over Space: Enabling Geographic Reasoning for LLM-Based Generative Next POI Recommendation ACL 2026 Recycling History: Efficient Recommendations from Contextual Dueling Bandits ALT 2026 RSA-CR: Resisting Shilling Attacks in Citation Recommendation via Dumbbell Inductive Learning AAAI 2026 Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems AAAI 2026 TrendPulse: A Simple yet Efficient Framework for Capturing Viral E-Commerce Spikes via LLM-Driven Contextualization ACL 2026 Visual Inception: Compromising Long-term Planning in Agentic Recommenders via Multimodal Memory Poisoning ACL 2026