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Denoising Alignment with Large Language Model for Recommendation

https://doi.org/10.1145/3696662
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-031-56063-7_42openalex-snapshot
GenRec: Large Language Model for Generative Recommendation
inferredcites →https://doi.org/10.1007/s11280-024-01291-2openalex-snapshot
A survey on large language models for recommendation
inferredcites →https://doi.org/10.1016/j.eswa.2021.116240openalex-snapshot
Deep multi-graph neural networks with attention fusion for recommendation
inferredcites →https://doi.org/10.1016/j.patcog.2023.109874openalex-snapshot
BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation
inferredcites →https://doi.org/10.1109/icdm50108.2020.00041openalex-snapshot
Dynamic Graph Collaborative Filtering
inferredcites →https://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/2939672openalex-snapshot
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot
node2vec
inferredcites →https://doi.org/10.1145/3077136.3080777openalex-snapshot
Neural Factorization Machines for Sparse Predictive Analytics
inferredcites →https://doi.org/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3289600openalex-snapshot
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/3289600.3290989openalex-snapshot
Session-Based Social Recommendation via Dynamic Graph Attention Networks
inferredcites →https://doi.org/10.1145/3292500.3330989openalex-snapshot
KGAT
inferredcites →https://doi.org/10.1145/3308558.3313442openalex-snapshot
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
inferredcites →https://doi.org/10.1145/3331184openalex-snapshot
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340531.3411932openalex-snapshot
News Recommendation with Topic-Enriched Knowledge Graphs
inferredcites →https://doi.org/10.1145/3340531.3411954openalex-snapshot
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
inferredcites →https://doi.org/10.1145/3366423.3380098openalex-snapshot
Reinforced Negative Sampling over Knowledge Graph for Recommendation
inferredcites →https://doi.org/10.1145/3397271openalex-snapshot
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3397271.3401137openalex-snapshot
Disentangled Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-snapshot
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3437963.3441800openalex-snapshot
Denoising Implicit Feedback for Recommendation
inferredcites →https://doi.org/10.1145/3442381openalex-snapshot
Proceedings of the Web Conference 2021
inferredcites →https://doi.org/10.1145/3442381.3450101openalex-snapshot
HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3447548.3467249openalex-snapshot
Deconfounded Recommendation for Alleviating Bias Amplification
inferredcites →https://doi.org/10.1145/3477495openalex-snapshot
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3477495.3531794openalex-snapshot
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3477495.3531937openalex-snapshot
Are Graph Augmentations Necessary?
inferredcites →https://doi.org/10.1145/3477495.3532025openalex-snapshot
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
inferredcites →https://doi.org/10.1145/3477495.3532058openalex-snapshot
Hypergraph Contrastive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3477495.3532059openalex-snapshot
Self-Guided Learning to Denoise for Robust Recommendation
inferredcites →https://doi.org/10.1145/3485447.3512104openalex-snapshot
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
inferredcites →https://doi.org/10.1145/3485447.3512110openalex-snapshot
Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems
inferredcites →https://doi.org/10.1145/3488560.3498527openalex-snapshot
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
inferredcites →https://doi.org/10.1145/3511808.3557583openalex-snapshot
Disentangled Contrastive Learning for Social Recommendation
inferredcites →https://doi.org/10.1145/3523227openalex-snapshot
Proceedings of the 16th ACM Conference on Recommender Systems
inferredcites →https://doi.org/10.1145/3523227.3546767openalex-snapshot
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
inferredcites →https://doi.org/10.1145/3528667openalex-snapshot
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation
inferredcites →https://doi.org/10.1145/3534678openalex-snapshot
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
inferredcites →https://doi.org/10.1145/3534678.3539342openalex-snapshot
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3534678.3539473openalex-snapshot
Self-Supervised Hypergraph Transformer for Recommender Systems
inferredcites →https://doi.org/10.1145/3539618.3591665openalex-snapshot
Disentangled Contrastive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3543507openalex-snapshot
Proceedings of the ACM Web Conference 2023
inferredcites →https://doi.org/10.1145/3543507.3583336openalex-snapshot
Automated Self-Supervised Learning for Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583374openalex-snapshot
Robust Preference-Guided Denoising for Graph based Social Recommendation
inferredcites →https://doi.org/10.1145/3564284openalex-snapshot
Bias and Debias in Recommender System: A Survey and Future Directions
inferredcites →https://doi.org/10.1145/3568022openalex-snapshot
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
inferredcites →https://doi.org/10.1145/3580305.3599324openalex-snapshot
Efficient Bi-Level Optimization for Recommendation Denoising
inferredcites →https://doi.org/10.1145/3580305.3599768openalex-snapshot
Adaptive Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1145/3589334openalex-snapshot
Proceedings of the ACM Web Conference 2024
inferredcites →https://doi.org/10.1145/3589334.3645458openalex-snapshot
Representation Learning with Large Language Models for Recommendation
inferredcites →https://doi.org/10.1145/3589334.3645682openalex-snapshot
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks
inferredcites →https://doi.org/10.1145/3594633openalex-snapshot
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion
inferredcites →https://doi.org/10.1145/3595632openalex-snapshot
Learning from Hierarchical Structure of Knowledge Graph for Recommendation
inferredcites →https://doi.org/10.1145/3604915.3608857openalex-snapshot
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
inferredcites →https://doi.org/10.1145/3604915.3610639openalex-snapshot
Leveraging Large Language Models for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3616855.3635853openalex-snapshot
LLMRec: Large Language Models with Graph Augmentation for Recommendation
inferredcites →https://doi.org/10.1145/3637528openalex-snapshot
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
inferredcites →https://doi.org/10.1145/3637528.3671984openalex-snapshot
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
inferredcites →https://doi.org/10.1145/3708882openalex-snapshot
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
inferredcites →https://doi.org/10.1162/tacl_a_00619openalex-snapshot
Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems
inferredcites →https://doi.org/10.1609/aaai.v34i01.5330openalex-snapshot
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
inferredcites →https://doi.org/10.1609/aaai.v35i14.17518openalex-snapshot
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding
inferredcites →https://doi.org/10.1609/aaai.v38i8.28769openalex-snapshot
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
inferredcites →https://doi.org/10.48550/arxiv.2002.05709openalex-snapshot
A Simple Framework for Contrastive Learning of Visual Representations
inferredcites →https://doi.org/10.48550/arxiv.2006.10029openalex-snapshot
Big Self-Supervised Models are Strong Semi-Supervised Learners
inferredcites →https://doi.org/10.5555/2503308.2188396openalex-snapshot
Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-95-7138-3_29openalex-snapshot
Continuous Sub-sequence Denoising For Sequential Recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133921openalex-snapshot
Retrieval is NOT always needed: Exploring the timing of retrieval in dynamic retrieval-augmented generation
inferred← citeshttps://doi.org/10.1016/j.ins.2026.123778openalex-snapshot
Multi-LLM semantic fusion with uncertainty-aware GCNs for personalized recommendation
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130469openalex-snapshot
A novel noise reduction and interaction enrichment recommendation model via contrastive learning
inferred← citeshttps://doi.org/10.1109/icirca69024.2026.11570529openalex-snapshot
Comparative Analysis of Traditional, Machine Learning, and LLM-based Data Preprocessing Methods
inferred← citeshttps://doi.org/10.1109/jiot.2025.3532977openalex-snapshot
LLM4TAP: LLM-Enhanced TAP Rule Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3640149openalex-snapshot
SemAlignRec: A Large Language Model-Driven Cross-Modal Collaborative–Semantic Recommendation Framework
inferred← citeshttps://doi.org/10.1109/tcss.2026.3716309openalex-snapshot
Semantic Augmented Multiview Graph Learning With Frequency-Aware Propagation for Recommendation
inferred← citeshttps://doi.org/10.1109/tsc.2025.3625048openalex-snapshot
MSKD: A Knowledge Denoising Framework for Metaverse Service Recommendation
inferred← citeshttps://doi.org/10.1145/3706598.3713731openalex-snapshot
TutorCraftEase: Enhancing Pedagogical Question Creation with Large Language Models
inferred← citeshttps://doi.org/10.1145/3709134openalex-snapshot
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 1
inferred← citeshttps://doi.org/10.1145/3746252.3761267openalex-snapshot
Enhancing Recommendation with Reliable Multi-profile Alignment and Collaborative-aware Contrastive Learning
inferred← citeshttps://doi.org/10.1145/3769428openalex-snapshot
GANPrompt: Improving LLM-Based Recommendations with GAN-Enhanced Diversity Prompts
inferred← citeshttps://doi.org/10.1145/3774904.3792123openalex-snapshot
Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs
inferred← citeshttps://doi.org/10.1145/3786600openalex-snapshot
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning
inferred← citeshttps://doi.org/10.1145/3789264openalex-snapshot
CPGRec+: A Balance-Oriented Framework for Personalized Video Game Recommendations
inferred← citeshttps://doi.org/10.1145/3805712.3809551openalex-snapshot
DIAURec: Dual-Intent Space Representation Optimization for Recommendation
inferred← citeshttps://doi.org/10.1145/3843223openalex-snapshot
LLM-Driven Aspect-Based Semantic Alignment for Review-Based Recommendation
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