conftrace_

recommender system

534 papers

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Also known as

RECSYS RS

Co-occurring keywords

collaborative filtering (300) recommendation system (294) large language model (13587) matrix factorization (529) representation learning (6206) graph neural network (3962) neural network (6616) attention mechanism (4001) user modeling (134) user preference (114)

Papers

Fidelity-Aware Recommendation Explanations via Stochastic Path Integration AAAI 2026

Recycling History: Efficient Recommendations from Contextual Dueling Bandits ALT 2026

Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models AAAI 2026

Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine AAAI 2026

From ID to LLM: Rethinking Representation Learning for Recommendation ACL 2026

TrendPulse: A Simple yet Efficient Framework for Capturing Viral E-Commerce Spikes via LLM-Driven Contextualization ACL 2026

MM4Rec: Multi-Source and Multi-Scenario Recommender for Unified User Preference AAAI 2026

Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities AAAI 2026

Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems AAAI 2026

EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems AAAI 2026

GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026

TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems AAAI 2026

Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation ACL 2026

Visual Inception: Compromising Long-term Planning in Agentic Recommenders via Multimodal Memory Poisoning ACL 2026

SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems AAAI 2026

Multi-graph Fusion Cross-model Contrastive Learning for Recommendation AAAI 2026

IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction AAAI 2026

Federated Context-Aware Personalized Recommendation AAAI 2026

Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals AAAI 2026

Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models AAAI 2026

PARS: Partial-Label-Learning-inspired Recommender Systems AAAI 2026

Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information AAAI 2026

Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems AAAI 2026

Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems AAAI 2026

SVD-GCL: A Noise-Augmented Hybrid Graph Contrastive Learning Framework for Recommendation COLING 2025