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RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Neural Networks: Tricks of the Trade
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GenRec: Large Language Model for Generative Recommendation
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A Practical Guide to Training Restricted Boltzmann Machines
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Mean shift: a robust approach toward feature space analysis
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Large Language Models Augmented Rating Prediction in Recommender System
inferredcites →https://doi.org/10.1109/icde53745.2022.00099openalex-snapshot
Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/sc41405.2020.00024openalex-snapshot
ZeRO: Memory optimizations Toward Training Trillion Parameter Models
inferredcites →https://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/1060745.1060754openalex-snapshot
Improving recommendation lists through topic diversification
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The long tail of recommender systems and how to leverage it
inferredcites →https://doi.org/10.1145/2365952.2365969openalex-snapshot
On top-k recommendation using social networks
inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot
Deep Neural Networks for YouTube Recommendations
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3308558.3313678openalex-snapshot
Improving Top-K Recommendation via JointCollaborative Autoencoders
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3366424.3386195openalex-snapshot
Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-snapshot
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462968openalex-snapshot
Sequential Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3458817.3476209openalex-snapshot
Efficient large-scale language model training on GPU clusters using megatron-LM
inferredcites →https://doi.org/10.1145/3522672openalex-snapshot
Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation
inferredcites →https://doi.org/10.1145/3568022openalex-snapshot
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
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Level Generation Through Large Language Models
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Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Improving Long-Tail Item Recommendation with Graph Augmentation
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Efficient Memory Management for Large Language Model Serving with PagedAttention
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/10.1145/3626772.3657798openalex-snapshot
Leveraging LLMs for Unsupervised Dense Retriever Ranking
inferredcites →https://doi.org/10.1145/3664927openalex-snapshot
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.298openalex-snapshot
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.923openalex-snapshot
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
inferredcites →https://doi.org/10.18653/v1/2024.findings-naacl.97openalex-snapshot
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
inferredcites →https://doi.org/10.18653/v1/d19-1018openalex-snapshot
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
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BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
inferredcites →https://doi.org/10.52202/068431-0103openalex-snapshot
Towards Efficient Post-Training Quantization of Pre-Trained Language Models
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FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Improving Unsupervised Zero-Shot Intent Classification with Dynamic Candidate Selection
inferred← citeshttps://doi.org/10.1007/978-3-032-37654-1_23openalex-snapshot
FedAgent-Rec: Enhancing Fairness and Personalization in Federated Recommendation via Multi-agent Behavior Simulation and Reranking
inferred← citeshttps://doi.org/10.1007/978-981-96-1710-4_1openalex-snapshot
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models
inferred← citeshttps://doi.org/10.1007/s10844-026-01048-5openalex-snapshot
Active learning for LLM-based recommender systems
inferred← citeshttps://doi.org/10.1007/s11280-024-01263-6openalex-snapshot
High-level preferences as positive examples in contrastive learning for multi-interest sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129508openalex-snapshot
RALLRec+: Retrieval augmented large language model recommendation with reasoning
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103919openalex-snapshot
Generative recommender systems: A comprehensive survey on model, framework, and application
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132510openalex-snapshot
Advances and challenges of multi-task learning method in recommender systems: A survey
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.135092openalex-snapshot
A survey on neural top-rank learning
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462368openalex-snapshot
Hybrid Ranking With Collaborative Signals for LLM-Based Recommendation
inferred← citeshttps://doi.org/10.1109/iccsc71566.2026.11650150openalex-snapshot
An Adaptive Cold-Aware Recommendation System for Sparse E-Commerce Data
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/icde65448.2025.00089openalex-snapshot
DELRec: Distilling Sequential Pattern to Enhance LLMs-Based Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/jstsp.2026.3653160openalex-snapshot
Integrating Large Language Models Into Recommendation via Mutual Augmentation and Adaptive Aggregation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3581706openalex-snapshot
Collaborative Knowledge Fusion: A Novel Method for Multi-Task Recommender Systems via LLMs
inferred← citeshttps://doi.org/10.1145/3664927openalex-snapshot
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training
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/10.1145/3726871openalex-snapshot
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
inferred← citeshttps://doi.org/10.1145/3736540openalex-snapshot
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2
inferred← citeshttps://doi.org/10.1145/3769428openalex-snapshot
GANPrompt: Improving LLM-Based Recommendations with GAN-Enhanced Diversity Prompts
inferred← citeshttps://doi.org/10.1145/3774904.3792451openalex-snapshot
RAIE:Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation
inferred← citeshttps://doi.org/10.1145/3816031openalex-snapshot
Generative Models for Context-Aware Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1145/3837081openalex-snapshot
Hierarchical Dual Debiasing in LLM-based Recommendation
inferred← citeshttps://doi.org/10.12720/jait.17.3.583-595openalex-snapshot
Graph Neural Network Based Personalized Recommendation with Edge Enrichment Using Ratings and Review Sentiments
inferred← citeshttps://doi.org/10.2139/ssrn.5611355openalex-snapshot
HGNNLM: Large Language Models with HyperGraph Data Augmentation for Recommendation
inferred← citeshttps://doi.org/10.3390/app16189335openalex-snapshot
Grounding Techniques in LLM-Based Recommender Systems: A Systematic Literature Mapping
inferred← citeshttps://doi.org/10.3390/info17030298openalex-snapshot
A Deep Hybrid Recommendation Method for Multimodal Information Integrating Content Generated by Large Language Models
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