On the public citation graph

LLM-Enhanced User–Item Interactions: Leveraging Edge Information for Optimized Recommendations

0 signed · 70 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-99739-7_26openalex-snapshot
Zero-Shot Recommendation as Language Modeling
inferredcites →https://doi.org/10.1016/j.aiopen.2023.08.012openalex-snapshot
GPT understands, too
inferredcites →https://doi.org/10.1016/s0169-7552(98)00110-xopenalex-snapshot
The anatomy of a large-scale hypertextual Web search engine
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm58522.2023.00084openalex-snapshot
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tbdata.2024.3387276openalex-snapshot
Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation
inferredcites →https://doi.org/10.1109/tkde.2025.3540912openalex-snapshot
CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation
inferredcites →https://doi.org/10.1145/1390156.1390267openalex-snapshot
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
inferredcites →https://doi.org/10.1145/2488388.2488393openalex-snapshot
Distributed large-scale natural graph factorization
inferredcites →https://doi.org/10.1145/2872427.2883044openalex-snapshot
Addressing Complex and Subjective Product-Related Queries with Customer Reviews
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3219819.3220023openalex-snapshot
xDeepFM
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
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/10.1145/3357384.3357895openalex-snapshot
BERT4Rec
inferredcites →https://doi.org/10.1145/3383313.3412249openalex-snapshot
What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3404835.3463069openalex-snapshot
Empowering News Recommendation with Pre-trained Language Models
inferredcites →https://doi.org/10.1145/3477495.3532054openalex-snapshot
RESETBERT4Rec: A Pre-training Model Integrating Time And User Historical Behavior for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3485447.3512110openalex-snapshot
Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems
inferredcites →https://doi.org/10.1145/3488560.3498495openalex-snapshot
Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT
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/10.1145/3534678.3539204openalex-snapshot
AdaFS: Adaptive Feature Selection in Deep Recommender System
inferredcites →https://doi.org/10.1145/3534678.3539381openalex-snapshot
Towards Universal Sequence Representation Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3534678.3539382openalex-snapshot
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
inferredcites →https://doi.org/10.1145/3581783.3612238openalex-snapshot
GoRec: A Generative Cold-start Recommendation Framework
inferredcites →https://doi.org/10.1145/3604915.3608845openalex-snapshot
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences
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/10.1145/3616855.3635853openalex-snapshot
LLMRec: Large Language Models with Graph Augmentation for Recommendation
inferredcites →https://doi.org/10.1145/3626772.3658596openalex-snapshot
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation
inferredcites →https://doi.org/10.1145/3637528.3671692openalex-snapshot
Double Correction Framework for Denoising Recommendation
inferredcites →https://doi.org/10.1145/3637528.3671824openalex-snapshot
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
inferredcites →https://doi.org/10.1145/3637528.3672015openalex-snapshot
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
inferredcites →https://doi.org/10.1145/3664931openalex-snapshot
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning
inferredcites →https://doi.org/10.1145/3687485openalex-snapshot
Feature Selection as Deep Sequential Generative Learning
inferredcites →https://doi.org/10.1609/aaai.v30i1.9973openalex-snapshot
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.1609/aaai.v35i5.16557openalex-snapshot
U-BERT: Pre-training User Representations for Improved Recommendation
inferredcites →https://doi.org/10.1609/aaai.v38i8.28786openalex-snapshot
Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation
inferredcites →https://doi.org/10.18653/v1/2020.coling-mainopenalex-snapshot
Proceedings of the 28th International Conference on Computational Linguistics
inferredcites →https://doi.org/10.18653/v1/2024.findings-naacl.271openalex-snapshot
RecMind: Large Language Model Powered Agent For Recommendation
inferredcites →https://doi.org/10.2200/s01057ed1v01y202009hlt047openalex-snapshot
Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning
inferredcites →https://doi.org/10.24963/ijcai.2019/600openalex-snapshot
Feature-level Deeper Self-Attention Network for Sequential Recommendation
inferredcites →https://doi.org/10.3115/992424.992434openalex-snapshot
Tokenization as the initial phase in NLP
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1910.10683openalex-snapshot
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
inferredcites →https://doi.org/10.48550/arxiv.2010.13902openalex-snapshot
Graph Contrastive Learning with Augmentations

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.70704openalex-snapshot
Interactive Web API Recommendation via LLM‐Enhanced Semantics and Multi‐Round Reward Feedback
inferred← citeshttps://doi.org/10.1007/978-981-92-2856-0_42openalex-snapshot
GA-LLMRec: Recommender Systems with Graph-Augmented Large Language Models
inferred← citeshttps://doi.org/10.1007/s10115-025-02539-7openalex-snapshot
Unleashing the power of untuned large language models in recommender systems: a thorough investigation of current approaches, challenges, and future research directions
inferred← citeshttps://doi.org/10.1007/s40747-025-02222-yopenalex-snapshot
Deep recommendation algorithm based on reviews and descriptions neural matrix factorization under cold-start
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115136openalex-snapshot
Context-aware and structure-enhanced graph contrastive learning for third-party library recommendation in mobile app development
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104826openalex-snapshot
PAGSL: Path-Augmenting Graph Structure Learning for explainable scholar recommendation
inferred← citeshttps://doi.org/10.1109/access.2025.3599176openalex-snapshot
Modeling of Negative Feedback Refined via LLM in Recommender Systems
inferred← citeshttps://doi.org/10.1109/cict64037.2024.10899502openalex-snapshot
ConRateMiner: Integrating Consulting Services Purchase with Celonis EMS
inferred← citeshttps://doi.org/10.1109/icde65448.2025.00073openalex-snapshot
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System
inferred← citeshttps://doi.org/10.1109/icws72778.2026.00035openalex-snapshot
CogGuard: Cognitive and Operational Profiling for Proactive Warning in Edge Intelligent Services
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227217openalex-snapshot
Building a Chinese Medical Dialogue System: Integrating Large-scale Corpora and Novel Models
inferred← citeshttps://doi.org/10.1109/niles68063.2025.11231926openalex-snapshot
ZeroSeedRec: Enhancing Zero-Shot Recommendation with Domain-Specific Instruction-Tuned LLMs: A Pipeline for Synthetic Seed and Self-Instruct Data Generation
inferred← citeshttps://doi.org/10.1109/tce.2025.3540780openalex-snapshot
Bidirectionally Guided Large Language Models for Consumer-Centric Personalized Recommendation
inferred← citeshttps://doi.org/10.1109/tsc.2024.3451185openalex-snapshot
When Search Engine Services Meet Large Language Models: Visions and Challenges
inferred← citeshttps://doi.org/10.1115/1.4067469openalex-snapshot
Transformer-Based Offline Printing Strategy Design for Large Format Additive Manufacturing
inferred← citeshttps://doi.org/10.1145/3774904.3792523openalex-snapshot
Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning
inferred← citeshttps://doi.org/10.1145/3843223openalex-snapshot
LLM-Driven Aspect-Based Semantic Alignment for Review-Based Recommendation
inferred← citeshttps://doi.org/10.26599/tst.2025.9010137openalex-snapshot
Large Language Models for Recommender Systems: A Problem-Driven Survey
inferred← citeshttps://doi.org/10.32388/ns4gu3openalex-snapshot
MixLLM: Dynamic Routing in Mixed Large Language Models
inferred← citeshttps://doi.org/10.3390/su18189227openalex-snapshot
A Text-Driven, Human-Centric Framework for Sustainable Safety Risk Governance in Steel Manufacturing: Integrating NLP, Topic Modeling, and Bayesian Decision Fusion
inferred← citeshttps://doi.org/10.4018/979-8-3373-5017-2.ch006openalex-snapshot
Conversational Intelligence
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.