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How Can Recommender Systems Benefit from Large Language Models: A Survey

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What this work says

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

inferredcites →https://doi.org/10.1002/j.2168-9830.2006.tb00884.xopenalex-snapshot
Inductive Teaching and Learning Methods: Definitions, Comparisons, and Research Bases
inferredcites →https://doi.org/10.1007/978-3-030-99739-7_26openalex-snapshot
Zero-Shot Recommendation as Language Modeling
inferredcites →https://doi.org/10.1007/978-3-031-56060-6_24openalex-snapshot
Large Language Models are Zero-Shot Rankers for Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-031-56063-7_22openalex-snapshot
Learning-to-Rank with Nested Feedback
inferredcites →https://doi.org/10.1007/978-3-031-56063-7_42openalex-snapshot
GenRec: Large Language Model for Generative Recommendation
inferredcites →https://doi.org/10.1007/978-981-97-7232-2_19openalex-snapshot
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation
inferredcites →https://doi.org/10.1007/s11280-024-01276-1openalex-snapshot
When large language models meet personalization: perspectives of challenges and opportunities
inferredcites →https://doi.org/10.1007/s11704-023-3112-yopenalex-snapshot
A general tail item representation enhancement framework for sequential recommendation
inferredcites →https://doi.org/10.1007/s11704-024-40044-2openalex-snapshot
Towards efficient and effective unlearning of large language models for recommendation
inferredcites →https://doi.org/10.1007/s11704-024-40231-1openalex-snapshot
A survey on large language model based autonomous agents
inferredcites →https://doi.org/10.1016/j.hcc.2024.100211openalex-snapshot
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
inferredcites →https://doi.org/10.1023/a:1009804230409openalex-snapshot
E-Commerce Recommendation Applications
inferredcites →https://doi.org/10.1109/cvpr52733.2024.01214openalex-snapshot
MuseChat: A Conversational Music Recommendation System for Videos
inferredcites →https://doi.org/10.1109/emc2-nips53020.2019.00016openalex-snapshot
Q8BERT: Quantized 8Bit BERT
inferredcites →https://doi.org/10.1109/icde60146.2024.00118openalex-snapshot
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
inferredcites →https://doi.org/10.1109/icdm.2016.0151openalex-snapshot
Product-Based Neural Networks for User Response Prediction
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm58522.2023.00082openalex-snapshot
Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation
inferredcites →https://doi.org/10.1109/taslp.2021.3129994openalex-snapshot
SoundStream: An End-to-End Neural Audio Codec
inferredcites →https://doi.org/10.1109/tcss.2024.3404039openalex-snapshot
RAH! RecSys–Assistant–Human: A Human-Centered Recommendation Framework With LLM Agents
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3209978.3210002openalex-snapshot
Conversational Recommender System
inferredcites →https://doi.org/10.1145/3219819.3219823openalex-snapshot
Deep Interest Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3219819.3220088openalex-snapshot
Fairness of Exposure in Rankings
inferredcites →https://doi.org/10.1145/3269206.3271739openalex-snapshot
RippleNet
inferredcites →https://doi.org/10.1145/3298689.3347016openalex-snapshot
Personalized fairness-aware re-ranking for microlending
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340531.3412744openalex-snapshot
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3357384.3357895openalex-snapshot
BERT4Rec
inferredcites →https://doi.org/10.1145/3366423.3380196openalex-snapshot
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
inferredcites →https://doi.org/10.1145/3394486.3403143openalex-snapshot
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3404835.3462895openalex-snapshot
A Graph-Enhanced Click Model for Web Search
inferredcites →https://doi.org/10.1145/3404835.3463069openalex-snapshot
Empowering News Recommendation with Pre-trained Language Models
inferredcites →https://doi.org/10.1145/3442381.3449913openalex-snapshot
An Adversarial Imitation Click Model for Information Retrieval
inferredcites →https://doi.org/10.1145/3447548.3467147openalex-snapshot
Pre-trained Language Model based Ranking in Baidu Search
inferredcites →https://doi.org/10.1145/3447548.3467149openalex-snapshot
Pre-trained Language Model for Web-scale Retrieval in Baidu Search
inferredcites →https://doi.org/10.1145/3447548.3467206openalex-snapshot
M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining
inferredcites →https://doi.org/10.1145/3477495.3531896openalex-snapshot
MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation
inferredcites →https://doi.org/10.1145/3477495.3532046openalex-snapshot
ProFairRec
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/10.1145/3524610.3527897openalex-snapshot
PTM4Tag
inferredcites →https://doi.org/10.1145/3534678.3539064openalex-snapshot
Learning Supplementary NLP Features for CTR Prediction in Sponsored Search
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/10.1145/3539597openalex-snapshot
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/3539597.3570365openalex-snapshot
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages
inferredcites →https://doi.org/10.1145/3539597.3570399openalex-snapshot
A Bird's-eye View of Reranking: From List Level to Page Level
inferredcites →https://doi.org/10.1145/3539597.3570426openalex-snapshot
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
inferredcites →https://doi.org/10.1145/3539618openalex-snapshot
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3539618.3591752openalex-snapshot
Prompt Learning for News Recommendation
inferredcites →https://doi.org/10.1145/3539618.3591932openalex-snapshot
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited
inferredcites →https://doi.org/10.1145/3543507.3583434openalex-snapshot
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
inferredcites →https://doi.org/10.1145/3554729openalex-snapshot
AUC Maximization in the Era of Big Data and AI: A Survey
inferredcites →https://doi.org/10.1145/3570640openalex-snapshot
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems
inferredcites →https://doi.org/10.1145/3580305openalex-snapshot
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
inferredcites →https://doi.org/10.1145/3580305.3599422openalex-snapshot
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
inferredcites →https://doi.org/10.1145/3580305.3599780openalex-snapshot
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction
inferredcites →https://doi.org/10.1145/3580305.3599921openalex-snapshot
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
inferredcites →https://doi.org/10.1145/3581783openalex-snapshot
Proceedings of the 31st ACM International Conference on Multimedia
inferredcites →https://doi.org/10.1145/3581783.3611967openalex-snapshot
MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation
inferredcites →https://doi.org/10.1145/3581783.3612252openalex-snapshot
Knowledge Prompt-tuning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3583780openalex-snapshot
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1145/3583780.3614657openalex-snapshot
An Unified Search and Recommendation Foundation Model for Cold-Start Scenario
inferredcites →https://doi.org/10.1145/3583780.3614949openalex-snapshot
Large Language Models as Zero-Shot Conversational Recommenders
inferredcites →https://doi.org/10.1145/3583780.3615017openalex-snapshot
Prompt Distillation for Efficient LLM-based Recommendation
inferredcites →https://doi.org/10.1145/3583780.3615077openalex-snapshot
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
inferredcites →https://doi.org/10.1145/3589334.3645396openalex-snapshot
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
inferredcites →https://doi.org/10.1145/3589334.3645458openalex-snapshot
Representation Learning with Large Language Models for Recommendation
inferredcites →https://doi.org/10.1145/3589334.3645467openalex-snapshot
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
inferredcites →https://doi.org/10.1145/3589334.3645537openalex-snapshot
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
inferredcites →https://doi.org/10.1145/3589335.3648298openalex-snapshot
Large Language Model based Long-tail Query Rewriting in Taobao Search
inferredcites →https://doi.org/10.1145/3604915.3608829openalex-snapshot
Large Language Model Augmented Narrative Driven Recommendations
inferredcites →https://doi.org/10.1145/3604915.3608844openalex-snapshot
CR-SoRec: BERT driven Consistency Regularization for Social Recommendation
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/10.1145/3604915.3608860openalex-snapshot
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
inferredcites →https://doi.org/10.1145/3604915.3608874openalex-snapshot
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM
inferredcites →https://doi.org/10.1145/3604915.3608889openalex-snapshot
Retrieval-augmented Recommender System: Enhancing Recommender Systems with Large Language Models
inferredcites →https://doi.org/10.1145/3604915.3609496openalex-snapshot
User Behavior Modeling with Deep Learning for Recommendation: Recent Advances
inferredcites →https://doi.org/10.1145/3604915.3610639openalex-snapshot
Leveraging Large Language Models for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3616855.3635689openalex-snapshot
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs
inferredcites →https://doi.org/10.1145/3616855.3635853openalex-snapshot
LLMRec: Large Language Models with Graph Augmentation for Recommendation
inferredcites →https://doi.org/10.1145/3617694.3623257openalex-snapshot
The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA
inferredcites →https://doi.org/10.1145/3626235openalex-snapshot
Diffusion Models: A Comprehensive Survey of Methods and Applications
inferredcites →https://doi.org/10.1145/3626772.3657688openalex-snapshot
Large Language Models for Intent-Driven Session Recommendations
inferredcites →https://doi.org/10.1145/3626772.3657813openalex-snapshot
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
inferredcites →https://doi.org/10.1145/3627673.3679789openalex-snapshot
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation
inferredcites →https://doi.org/10.1145/3637528.3671474openalex-snapshot
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
inferredcites →https://doi.org/10.1145/3637528.3671802openalex-snapshot
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
inferredcites →https://doi.org/10.1145/3640457.3688106openalex-snapshot
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction
inferredcites →https://doi.org/10.1145/3690655openalex-snapshot
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency
inferredcites →https://doi.org/10.1145/3704999openalex-snapshot
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models
inferredcites →https://doi.org/10.1145/3705727openalex-snapshot
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems
inferredcites →https://doi.org/10.1145/3708882openalex-snapshot
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
inferredcites →https://doi.org/10.1155/2009/421425openalex-snapshot
A Survey of Collaborative Filtering Techniques
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/10.1561/0400000042openalex-snapshot
The Algorithmic Foundations of Differential Privacy
inferredcites →https://doi.org/10.1609/aaai.v35i5.16557openalex-snapshot
U-BERT: Pre-training User Representations for Improved Recommendation
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.703openalex-snapshot
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.365openalex-snapshot
Towards Topic-Guided Conversational Recommender System
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.372openalex-snapshot
TinyBERT: Distilling BERT for Natural Language Understanding
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.243openalex-snapshot
The Power of Scale for Parameter-Efficient Prompt Tuning
inferredcites →https://doi.org/10.18653/v1/2022.aacl-main.37openalex-snapshot
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.26openalex-snapshot
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
inferredcites →https://doi.org/10.18653/v1/2022.acl-short.8openalex-snapshot
P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.368openalex-snapshot
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation
inferredcites →https://doi.org/10.18653/v1/2022.findings-naacl.4openalex-snapshot
Improving Conversational Recommendation Systems’ Quality with Context-Aware Item Meta-Information
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.891openalex-snapshot
Crosslingual Generalization through Multitask Finetuning
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-mainopenalex-snapshot
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.397openalex-snapshot
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.557openalex-snapshot
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.621openalex-snapshot
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
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/v1/2023.findings-acl.67openalex-snapshot
Towards Reasoning in Large Language Models: A Survey
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.182openalex-snapshot
Sources of Hallucination by Large Language Models on Inference Tasks
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.644openalex-snapshot
VIP5: Towards Multimodal Foundation Models for Recommendation
inferredcites →https://doi.org/10.18653/v1/2024.findings-naacl.271openalex-snapshot
RecMind: Large Language Model Powered Agent For Recommendation
inferredcites →https://doi.org/10.18653/v1/2024.findings-naacl.39openalex-snapshot
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
inferredcites →https://doi.org/10.18653/v1/2024.naacl-short.31openalex-snapshot
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
inferredcites →https://doi.org/10.18653/v1/d19-1599openalex-snapshot
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
inferredcites →https://doi.org/10.21203/rs.3.rs-3625855/v1openalex-snapshot
A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce
inferredcites →https://doi.org/10.2139/ssrn.4749402openalex-snapshot
Controlrec: Bridging the Semantic Gap between Language Model and Personalized Recommendation
inferredcites →https://doi.org/10.2196/46939openalex-snapshot
Putting ChatGPT’s Medical Advice to the (Turing) Test: Survey Study
inferredcites →https://doi.org/10.24963/ijcai.2021/462openalex-snapshot
UNBERT: User-News Matching BERT for News Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2021/636openalex-snapshot
Deep Learning for Click-Through Rate Estimation
inferredcites →https://doi.org/10.3115/1071884openalex-snapshot
Proceedings of the 19th international conference on Computational linguistics -
inferredcites →https://doi.org/10.3233/faia230482openalex-snapshot
The Problem of Coherence in Natural Language Explanations of Recommendations
inferredcites →https://doi.org/10.3390/a16090432openalex-snapshot
Sparks of Artificial General Recommender (AGR): Experiments with ChatGPT
inferredcites →https://doi.org/10.36227/techrxiv.23589741.v1openalex-snapshot
A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage
inferredcites →https://doi.org/10.48550/arxiv.1812.07617openalex-snapshot
Towards Deep Conversational Recommendations
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.2201.11903openalex-snapshot
BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
inferredcites →https://doi.org/10.48550/arxiv.2203.02155openalex-snapshot
Discernment and Social Learning as a Companion Training Layer
inferredcites →https://doi.org/10.48550/arxiv.2204.02311openalex-snapshot
PaLM: Scaling Language Modeling with Pathways
inferredcites →https://doi.org/10.5565/rev/elcvia.1232openalex-snapshot
A review of movie recommendation system: Limitations, Survey and Challenges

What points at this work

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

inferred← citeshttps://doi.org/10.1002/spe.70022openalex-snapshot
RGPRec: A RAG‐Enhanced GNN for Personalized Task Recommendations in Open‐Source Communities
inferred← citeshttps://doi.org/10.1007/978-3-031-56063-7_23openalex-snapshot
MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-66635-3_37openalex-snapshot
Evaluation of the Effect of Side Information on LLM Rankers for Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-72344-5_10openalex-snapshot
Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network Based Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-72344-5_24openalex-snapshot
Large Language Model Ranker with Graph Reasoning for Zero-Shot Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-77040-1_8openalex-snapshot
Optimizing Recommendation Systems in E-Learning: Synergistic Integration of Lang Chain, GPT Models, and Retrieval Augmented Generation (RAG)
inferred← citeshttps://doi.org/10.1007/978-3-031-88717-8_7openalex-snapshot
Fact vs. Fiction: Are the Reportedly “Magical” LLM-Based Recommenders Reproducible?
inferred← citeshttps://doi.org/10.1007/978-3-032-10489-2_6openalex-snapshot
Advancing Sustainable Tourism Recommendations Through Innovative Hierarchical Evaluation and Data Acquisition Methods
inferred← citeshttps://doi.org/10.1007/978-3-032-21289-4_28openalex-snapshot
Post-training Denoising of User Profiles with LLMs in Collaborative Filtering Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-032-21289-4_35openalex-snapshot
PromptHG: Prompt-Enhanced Heterogeneous Graph for Personalized News Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-032-30846-7_27openalex-snapshot
A Regulatory Framework for LLM-Based Recommendation Systems in Higher Education
inferred← citeshttps://doi.org/10.1007/978-3-032-37654-1_28openalex-snapshot
Understanding and Mitigating Semantic Popularity Bias in LLM-Based Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-37682-4_24openalex-snapshot
LIBER: Lifelong User Behavior Modeling Based on Large Language Models
inferred← citeshttps://doi.org/10.1007/978-3-032-37685-5_57openalex-snapshot
Music Playlist Captioning at Scale with Large Language Models
inferred← citeshttps://doi.org/10.1007/978-981-92-2494-4_17openalex-snapshot
Score: Bursting Dual Heterogeneity with a Semantic-Collaborative Graph Attention Framework for Cross-Domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-92-3391-5_14openalex-snapshot
FS-IDs: Affordance-Aware Functional Semantic Indexing for Generative Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-92-3435-6_1openalex-snapshot
LadRanker: Making LLMs All-Round Rankers for Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-95-3061-8_25openalex-snapshot
DualCBR: Cross-Modal Collaborative Filtering with Bidirectional Alignment for Long-Tail Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-95-7251-9_4openalex-snapshot
Semantic-Guided Data Augmentation and Filtering for Sequential Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-96-9881-3_21openalex-snapshot
An Efficient Approximation Framework for LLM-Enhanced Recommendation
inferred← citeshttps://doi.org/10.1007/s00146-026-03103-9openalex-snapshot
The quasi-gods of algorithmic providence: recommender systems and religious frameworks
inferred← citeshttps://doi.org/10.1007/s10111-025-00822-9openalex-snapshot
Integrating minds: adaptive knowledge sharing strategies for ML team synergy
inferred← citeshttps://doi.org/10.1007/s10115-025-02665-2openalex-snapshot
Enhancing recommender systems with LLM-extracted explicit features
inferred← citeshttps://doi.org/10.1007/s10462-024-10921-0openalex-snapshot
Large language models in medical and healthcare fields: applications, advances, and challenges
inferred← citeshttps://doi.org/10.1007/s10796-026-10787-3openalex-snapshot
Beyond the Lookup: Simulating Realistic User Uncertainty for the Evaluation of Conversational Agentic Recommenders
inferred← citeshttps://doi.org/10.1007/s10844-024-00915-3openalex-snapshot
MLLM4Rec : multimodal information enhancing LLM for sequential recommendation
inferred← citeshttps://doi.org/10.1007/s10994-026-07181-0openalex-snapshot
Beyond Lipschitz: generalization and optimization analysis for adversarial training under Hölder-type conditions
inferred← citeshttps://doi.org/10.1007/s11280-024-01276-1openalex-snapshot
When large language models meet personalization: perspectives of challenges and opportunities
inferred← citeshttps://doi.org/10.1007/s11280-024-01291-2openalex-snapshot
A survey on large language models for recommendation
inferred← citeshttps://doi.org/10.1007/s11280-025-01397-1openalex-snapshot
STLLM-Rec: enhancing explainable recommendation via self-training LLMs
inferred← citeshttps://doi.org/10.1007/s13198-024-02568-5openalex-snapshot
A data-driven API recommendation approach for service mashup composition
inferred← citeshttps://doi.org/10.1007/s13278-026-01618-zopenalex-snapshot
GRAFT-Rec: a hybrid multi-signal framework with gradient-boosted meta-ranking for collaborative filtering
inferred← citeshttps://doi.org/10.1007/s41060-026-01106-9openalex-snapshot
Large language models for generative recommendation: a systematic review of data-centric taxonomy, evaluation, and human-centric analytics
inferred← citeshttps://doi.org/10.1007/s44196-025-01047-4openalex-snapshot
Temporal Knowledge Graph Completion Based on Temporal-Aware Encoding and Entity Attention Contrast
inferred← citeshttps://doi.org/10.1016/j.array.2026.100802openalex-snapshot
SRS: A recommendation system for scientific publication
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.114094openalex-snapshot
Large language model augmented joint learning framework for entity-relation extraction
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.114797openalex-snapshot
An enhanced multi-criteria decision making framework for evaluating LLM-integrated smart product-service systems using spherical fuzzy rough numbers
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.116430openalex-snapshot
Mamba-enhanced asymmetric contrastive graph-sequence learning for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110882openalex-snapshot
A systematic survey of digital medication recommendation systems
inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.101058openalex-snapshot
A survey of information retrieval and recommender systems in the era of large language models: Two sides of the same task
inferred← citeshttps://doi.org/10.1016/j.dib.2025.112291openalex-snapshot
GPTRC: A large-scale dataset for evaluating question-answering capabilities and limitations of large language models
inferred← citeshttps://doi.org/10.1016/j.eij.2026.101033openalex-snapshot
GUIDE: Generative User Intent Dual-Encoder for tourism recommendation
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112196openalex-snapshot
Semantic analysis-based recommender system using sequential clustering and convolutional neural network
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125816openalex-snapshot
A text-based recommender system for recommending relevant news articles
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132508openalex-snapshot
Conversational recommender systems with large language models: A review of current developments
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102413openalex-snapshot
A survey of route recommendations: Methods, applications, and opportunities
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103577openalex-snapshot
LLM supporting knowledge tracing leveraging global subject and student specific knowledge graphs
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.infsof.2025.107753openalex-snapshot
A systematic literature review on task recommendation systems for crowdsourced software engineering
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103999openalex-snapshot
Combining association-rule-guided sequence augmentation with listwise contrastive learning for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104140openalex-snapshot
DCRLRec: Dual-domain contrastive reinforcement large language model for recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104387openalex-snapshot
Modeling semantic representation with LLM-enhanced for knowledge-aware recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104423openalex-snapshot
Scientific collaborator recommendation via hypergraph embedding
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104488openalex-snapshot
TASeqRec: Learning users’ topical interests for sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.115135openalex-snapshot
LE-DLCM: Decoupled learner and course modeling with large language models for enhanced course recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.115184openalex-snapshot
A robust deep feature learning approach for personalized residential electricity plan recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115282openalex-snapshot
BiTrans-CDSR: Bidirectional knowledge transfer for cross-domain sequential recommendation via joint user-item overlap modeling
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115809openalex-snapshot
Towards attribute-Augmented course recommendation: An LLM-Driven model-Agnostic representation learning framework
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116004openalex-snapshot
TrustRec: A large language models augmented trustworthy recommendation method based on knowledge constraints
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116236openalex-snapshot
Leveraging graph path evidence for explainable recommender systems
inferred← citeshttps://doi.org/10.1016/j.measurement.2026.120820openalex-snapshot
Classification and information extraction of road crack images based on multimodal large language models
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.107001openalex-snapshot
Dual-tower model with semantic perception and timespan-coupled hypergraph for next-basket recommendation
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107695openalex-snapshot
Adversarial regularized diffusion model for fair recommendations
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108954openalex-snapshot
Retrieval-augmented and feedback-optimized large language model for recommendation
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112011openalex-snapshot
Improve ranking algorithms based on matrix factorization in rating systems
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112104openalex-snapshot
Neural recommendation by user-item-user and item-user-item relation modeling
inferred← citeshttps://doi.org/10.1016/j.tra.2026.105236openalex-snapshot
A community-driven recommender system for speed safety camera policy using large language models and knowledge graphs
inferred← citeshttps://doi.org/10.1016/j.tre.2025.104142openalex-snapshot
Large language model-enhanced reinforcement learning for generic bus holding control strategies
inferred← citeshttps://doi.org/10.1038/s41598-025-31319-0openalex-snapshot
Advanced natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA
inferred← citeshttps://doi.org/10.1038/s41598-026-42865-6openalex-snapshot
KGERA: knowledge graph enhanced reasoning architecture for recommendation systems
inferred← citeshttps://doi.org/10.1080/10447318.2025.2610767openalex-snapshot
Algorithmic Kaleidoscope: The Floating Algorithmic Self and Self-Discrepancy of Recommendation System Users
inferred← citeshttps://doi.org/10.1109/access.2025.3554125openalex-snapshot
Knowledge-Enriched Recommendations: Bridging the Gap in Alloy Material Selection With Large Language Models
inferred← citeshttps://doi.org/10.1109/access.2025.3584648openalex-snapshot
AI-Driven Nudge Optimization: Integrating Two-Tower Networks and Multi-Armed Bandit With Behavioral Economics for Digital Banking Campaign
inferred← citeshttps://doi.org/10.1109/access.2025.3599832openalex-snapshot
A Comprehensive Survey on LLM-Powered Recommender Systems: From Discriminative, Generative to Multi-Modal Paradigms
inferred← citeshttps://doi.org/10.1109/aiim67611.2025.11233134openalex-snapshot
Generative Models for Recommender Systems: A Comprehensive Survey of Deep Generative Approaches and Large Language Model Integration
inferred← citeshttps://doi.org/10.1109/apsipaasc65261.2025.11249407openalex-snapshot
Incorporating Semantic Visual Content into Click-Through Rate Prediction for Video Advertisements
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00342openalex-snapshot
Tether: A Personalized Support Assistant for Software Engineers with ADHD
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11401512openalex-snapshot
Entity-Aware Pretraining of Large Language Models for Recommendation Systems
inferred← citeshttps://doi.org/10.1109/caibda65784.2025.11182947openalex-snapshot
Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems
inferred← citeshttps://doi.org/10.1109/cicn67655.2025.11367845openalex-snapshot
Implementation of a Product Recommendation System Using Collaborative Filtering for Amazon e-Commerce Data
inferred← citeshttps://doi.org/10.1109/cisat66811.2025.11181911openalex-snapshot
A Large Language Model-Based News Recommendation Method Integrating User Hierarchical Interest Representation
inferred← citeshttps://doi.org/10.1109/cita66455.2025.11198821openalex-snapshot
Exploring Large Language Models in Gamified Environments: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/cloudcom62794.2024.00032openalex-snapshot
Evaluating Fine-tuned BERT-based Language Models for Web API Recommendation
inferred← citeshttps://doi.org/10.1109/cscwd64889.2025.11033598openalex-snapshot
Exploring the Impact of Large Language Model-Simulated Personalities on Recommendation
inferred← citeshttps://doi.org/10.1109/dese60595.2023.10468757openalex-snapshot
LLANIME: Large Language Models for Anime Recommendations
inferred← citeshttps://doi.org/10.1109/icac61394.2024.10718796openalex-snapshot
LLM Based Cross Modality Retrieval to Improve Recommendation Performance
inferred← citeshttps://doi.org/10.1109/icaim69488.2026.11601833openalex-snapshot
Improving Recommendation Serendipity by Chain-of-Thought Prompting in Large Language Models
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462090openalex-snapshot
HiBAR: A Hidden Backdoor Attack on LLM Recommendation Services via Multi-Turn Dialogue Manipulation
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462620openalex-snapshot
DSR-Rec: Enhancing Generative Recommendation Through Dynamic Expert Selection and Semantic ID Redirection
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464543openalex-snapshot
Robust Personalized Recommendation under Hidden Confounding in MNAR
inferred← citeshttps://doi.org/10.1109/iccbe65177.2025.11255947openalex-snapshot
Big Data University Digital Library Personalized Recommender Approach Based on Column-Row Singular Value Decomposition
inferred← citeshttps://doi.org/10.1109/icdew71238.2026.00026openalex-snapshot
Prompt Optimization for User Simulation in Conversational Recommender Systems: A Multi-Objective Framework
inferred← citeshttps://doi.org/10.1109/icdm59182.2024.00026openalex-snapshot
RecCoder: Reformulating Sequential Recommendation as Large Language Model-Based Code Completion
inferred← citeshttps://doi.org/10.1109/icdm65498.2025.00183openalex-snapshot
Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning
inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00195openalex-snapshot
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging
inferred← citeshttps://doi.org/10.1109/iceccme62383.2024.10796604openalex-snapshot
Towards Goal-Oriented Volunteering - LLMs to the Rescue?
inferred← citeshttps://doi.org/10.1109/icftic68075.2025.11324878openalex-snapshot
HARA: Optimization of Recommendation Systems Based on Hybrid Asynchronous Architecture
inferred← citeshttps://doi.org/10.1109/icpads67057.2025.11323218openalex-snapshot
PERec: Prompt-Enhanced Semantic Modeling with Large Language Models for Long-Tail Recommendation
inferred← citeshttps://doi.org/10.1109/ictai66417.2025.00050openalex-snapshot
Assessing LLMs for Prioritization in Meeting-Based Group Recommendations
inferred← citeshttps://doi.org/10.1109/icws62655.2024.00100openalex-snapshot
LLM-MHR: A LLM-Augmented Multimodal Hashtag Recommendation Algorithm
inferred← citeshttps://doi.org/10.1109/icws67624.2025.00014openalex-snapshot
A Weighted Preference Optimization Service Recommendation Method Based on Knowledge Graph and Large Language Model
inferred← citeshttps://doi.org/10.1109/icws67624.2025.00069openalex-snapshot
Supervised Pretraining for in-Context Decision in Conversational Service Recommendation
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650337openalex-snapshot
CSIA-GCN: A Doctor Recommendation Model Based on Interactive Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228365openalex-snapshot
CourseLRec: Leveraging Large Language Models for Personalized Course Recommendations
inferred← citeshttps://doi.org/10.1109/jcdl67857.2025.00015openalex-snapshot
LLM-Generated Description and Reasoning: Use-case for Library Recommendations
inferred← citeshttps://doi.org/10.1109/jcdl67857.2025.00034openalex-snapshot
Age-Specific Fine-Tuning of Large Language Models with Sentiment-Guided Emotion Vectors for Teen Book Recommendations
inferred← citeshttps://doi.org/10.1109/jiot.2024.3496491openalex-snapshot
Large Language Models and Artificial Intelligence Generated Content Technologies Meet Communication Networks
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/mis.2025.3561473openalex-snapshot
Point-of-Interest Recommendations and Large Language Models: A Powerful Combination
inferred← citeshttps://doi.org/10.1109/tcss.2026.3658763openalex-snapshot
GLIDE: Generative LLM-Driven Data Augmentation for Meta-Services With Applications to E-Commerce Scenarios
inferred← citeshttps://doi.org/10.1109/tcss.2026.3673373openalex-snapshot
CADKR: A Context-Aware Dialog-Based Knowledge Recommendation Model for Industrial Software Systems
inferred← citeshttps://doi.org/10.1109/tkde.2024.3392335openalex-snapshot
Recommender Systems in the Era of Large Language Models (LLMs)
inferred← citeshttps://doi.org/10.1109/tkde.2025.3540912openalex-snapshot
CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation
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/10.1109/tkde.2025.3581806openalex-snapshot
Personalized News Recommendation Towards the Era of LLMs: Review and Prospect
inferred← citeshttps://doi.org/10.1109/tkde.2026.3675423openalex-snapshot
Passing on Wisdom: LLM-Driven Cascaded Knowledge Distillation for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tpami.2026.3663633openalex-snapshot
Exploring and Tailoring the Test-Time Augmentation for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tsc.2026.3656398openalex-snapshot
LACL: Overcoming Semantic Sparsity in Mashup Development via LLM-Enhanced Service Bundle Recommendation
inferred← citeshttps://doi.org/10.1109/tse.2026.3657900openalex-snapshot
Agentic Recommender Systems: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/tse.2026.3703189openalex-snapshot
HiSDevRec: Hybrid Interaction and Semantic-Aware Software Developer Recommendation
inferred← citeshttps://doi.org/10.1111/tgis.13282openalex-snapshot
Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events
inferred← citeshttps://doi.org/10.1145/3604915.3610639openalex-snapshot
Leveraging Large Language Models for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3613905.3650912openalex-snapshot
Designing a Proactive Context-Aware AI Chatbot for People's Long-Term Goals
inferred← citeshttps://doi.org/10.1145/3627673.3679717openalex-snapshot
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3631700.3665185openalex-snapshot
LLM-generated Explanations for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3637528.3671474openalex-snapshot
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
inferred← citeshttps://doi.org/10.1145/3639856.3639896openalex-snapshot
Are you a Foodie looking for New Cookies to try out? Better not ask an LLM
inferred← citeshttps://doi.org/10.1145/3640457.3688121openalex-snapshot
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3640457.3688131openalex-snapshot
ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
inferred← citeshttps://doi.org/10.1145/3642979.3642986openalex-snapshot
Towards Generative Search and Recommendation: A keynote at RecSys 2023
inferred← citeshttps://doi.org/10.1145/3679200openalex-snapshot
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
inferred← citeshttps://doi.org/10.1145/3699952openalex-snapshot
Envisioning Recommendations on an LLM-Based Agent Platform
inferred← citeshttps://doi.org/10.1145/3700890openalex-snapshot
A Survey on Intent-aware Recommender Systems
inferred← citeshttps://doi.org/10.1145/3705328.3747995openalex-snapshot
EARL: The 2nd Workshop on Evaluating and Applying Recommender Systems with Large Language Models
inferred← citeshttps://doi.org/10.1145/3705328.3748001openalex-snapshot
First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec)
inferred← citeshttps://doi.org/10.1145/3705328.3748014openalex-snapshot
Beyond Visit Trajectories: Enhancing POI Recommendation via LLM-Augmented Text and Image Representations
inferred← citeshttps://doi.org/10.1145/3705328.3748020openalex-snapshot
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation
inferred← citeshttps://doi.org/10.1145/3705328.3748037openalex-snapshot
Emotion Vector-Based Fine-Tuning of Large Language Models for Age-Aware Teenage Book Recommendations
inferred← citeshttps://doi.org/10.1145/3705328.3748046openalex-snapshot
Exploring Scaling Laws of CTR Model for Online Performance Improvement
inferred← citeshttps://doi.org/10.1145/3705328.3748759openalex-snapshot
Advancing User-Centric Evaluation and Design of Conversational Recommender Systems
inferred← citeshttps://doi.org/10.1145/3705328.3759305openalex-snapshot
Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
inferred← citeshttps://doi.org/10.1145/3708319.3733646openalex-snapshot
Towards Group Decision Support with LLM-based Meeting Analysis
inferred← citeshttps://doi.org/10.1145/3708882openalex-snapshot
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
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/10.1145/3711896.3736554openalex-snapshot
Diffusion Models for Recommender Systems: From Content Distribution To Content Creation
inferred← citeshttps://doi.org/10.1145/3711896.3736919openalex-snapshot
EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens
inferred← citeshttps://doi.org/10.1145/3711896.3737192openalex-snapshot
An Automatic Graph Construction Framework based on Large Language Models for Recommendation
inferred← citeshttps://doi.org/10.1145/3726302.3729937openalex-snapshot
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
inferred← citeshttps://doi.org/10.1145/3726302.3729972openalex-snapshot
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
inferred← citeshttps://doi.org/10.1145/3726302.3730117openalex-snapshot
X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3742413.3789129openalex-snapshot
Personalized Recommendations in Mixed Reality Enhance Explanation Satisfaction and Hedonic User Experience in Board Game Learning
inferred← citeshttps://doi.org/10.1145/3745756.3809214openalex-snapshot
FBLayout: Optimizing Memory Layout for Efficient LLM Finetuning on Mobile GPUs
inferred← citeshttps://doi.org/10.1145/3746252.3760802openalex-snapshot
G2IFS: Global-to-Instance Feature Selection in Deep Recommender System
inferred← citeshttps://doi.org/10.1145/3746252.3760859openalex-snapshot
Anchor-based Pairwise Comparison via Large Language Model for Recommendation Reranking
inferred← citeshttps://doi.org/10.1145/3746252.3761321openalex-snapshot
LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis
inferred← citeshttps://doi.org/10.1145/3746252.3761612openalex-snapshot
Generative Recommendation with Semantic IDs: A Practitioner's Handbook
inferred← citeshttps://doi.org/10.1145/3766553openalex-snapshot
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
inferred← citeshttps://doi.org/10.1145/3768626openalex-snapshot
Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization
inferred← citeshttps://doi.org/10.1145/3769428openalex-snapshot
GANPrompt: Improving LLM-Based Recommendations with GAN-Enhanced Diversity Prompts
inferred← citeshttps://doi.org/10.1145/3770855.3817511openalex-snapshot
PhotoBench: Beyond Visual Matching Towards Personalized Intent-Driven Photo Retrieval
inferred← citeshttps://doi.org/10.1145/3770855.3818060openalex-snapshot
MGTA: Multi-scale Graph Tokens Alignment for CTR Prediction via Pre-trained Language Models
inferred← citeshttps://doi.org/10.1145/3771772openalex-snapshot
Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation
inferred← citeshttps://doi.org/10.1145/3772318.3791326openalex-snapshot
When Your Therapist Is an Algorithm: Understanding the Role of AI in Mental Health Mobile Applications
inferred← citeshttps://doi.org/10.1145/3773078.3831729openalex-snapshot
Second International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec)
inferred← citeshttps://doi.org/10.1145/3773078.3831743openalex-snapshot
User-Controlled Intent Layers for LLM-Mediated Personalization: A Research Agenda for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3773078.3831783openalex-snapshot
Safety-Aware Next-POI Recommendation with Large Language Models
inferred← citeshttps://doi.org/10.1145/3773078.3831803openalex-snapshot
Choosing What Matters: Query-Aware Multimodal Routing for Conversational Recommendation
inferred← citeshttps://doi.org/10.1145/3773078.3831810openalex-snapshot
Do We Really Need LLMs to Augment All? A Selective Augmentation Framework with Lightweight Language Models for Multimodal CTR Prediction
inferred← citeshttps://doi.org/10.1145/3773078.3831834openalex-snapshot
Bridge the Unseen Gap: Enhancing Non-overlapping Cross-domain CTR Prediction via Profile Retrieval
inferred← citeshttps://doi.org/10.1145/3773078.3831940openalex-snapshot
Teaching Recommenders to Listen: Bidirectional Natural-Language Control for Personalized News
inferred← citeshttps://doi.org/10.1145/3773966.3779396openalex-snapshot
ARROW: Adaptive Reasoning for LLM-based Recommendation with Explainability
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/10.1145/3774904.3792130openalex-snapshot
Reinforcement Learning-Constrained Segmented User Modeling with Large Language Models for Recommendation
inferred← citeshttps://doi.org/10.1145/3774904.3792283openalex-snapshot
From Prediction to Understanding: Leveraging Reasoning in Large Language Model-based Recommendations
inferred← citeshttps://doi.org/10.1145/3774904.3792365openalex-snapshot
WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging
inferred← citeshttps://doi.org/10.1145/3774904.3792456openalex-snapshot
SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3774905.3795855openalex-snapshot
LLM-Enabled Participatory Platforms for People-Centric Smart Cities
inferred← citeshttps://doi.org/10.1145/3778450.3778452openalex-snapshot
Deep Learning-Based Intelligent Resume-Position Matching System: Semantic Understanding and Recommendation of BERT Model in Massive Recruitment Data
inferred← citeshttps://doi.org/10.1145/3779436openalex-snapshot
KnowPath: An LLM-Supported Knowledge Graph Construction and Path Finding Framework to Explainable MOOC Recommendations
inferred← citeshttps://doi.org/10.1145/3786304.3787876openalex-snapshot
Do LLMs Understand Collaborative Signals? Diagnosis and Repair
inferred← citeshttps://doi.org/10.1145/3786304.3787917openalex-snapshot
Cleo: A Transparent and Controllable Chatbot for Conversational Commerce
inferred← citeshttps://doi.org/10.1145/3786653openalex-snapshot
FlowPilot: A Suggestion System for Designing Scientific Workflows
inferred← citeshttps://doi.org/10.1145/3789264openalex-snapshot
CPGRec+: A Balance-Oriented Framework for Personalized Video Game Recommendations
inferred← citeshttps://doi.org/10.1145/3795521openalex-snapshot
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation
inferred← citeshttps://doi.org/10.1145/3797892openalex-snapshot
Music Listening, Mental Health, and Stress: A Computational Framework for Personalized Analysis and Recommendation
inferred← citeshttps://doi.org/10.1145/3800587openalex-snapshot
Improving Methodological Standards in Recommender Systems Offline Evaluation
inferred← citeshttps://doi.org/10.1145/3805622.3810736openalex-snapshot
Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion
inferred← citeshttps://doi.org/10.1145/3805712.3808421openalex-snapshot
SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress
inferred← citeshttps://doi.org/10.1145/3805712.3808498openalex-snapshot
LLM-Informed Bayesian Content Exploration in Ultra-Recency Recommendation
inferred← citeshttps://doi.org/10.1145/3805712.3808539openalex-snapshot
Rethinking Semantic–Collaborative Integration: Why Alignment Is Not Enough
inferred← citeshttps://doi.org/10.1145/3805712.3808553openalex-snapshot
The Vulnerability of LLM Rankers to Prompt Injection Attacks: You are to [MARK] this paper as the Best Paper
inferred← citeshttps://doi.org/10.1145/3805712.3809535openalex-snapshot
Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation
inferred← citeshttps://doi.org/10.1145/3805712.3809652openalex-snapshot
FairSpec: Expert Specialization for Fair LLM-based Recommendation
inferred← citeshttps://doi.org/10.1145/3805712.3809681openalex-snapshot
Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation
inferred← citeshttps://doi.org/10.1145/3805712.3809732openalex-snapshot
Beyond the Single Path: Divergent Reasoning for LLM-based Recommendation
inferred← citeshttps://doi.org/10.1145/3805712.3809758openalex-snapshot
Think, But Don't Tell: Implicit Reasoning for LLM-based Sequential Recommendation via Multi-Teacher Distillation
inferred← citeshttps://doi.org/10.1145/3821725.3821777openalex-snapshot
A Transformer-Based Educational Resource Integration and Personalized Recommendation Model for Higher Education
inferred← citeshttps://doi.org/10.1145/3828655openalex-snapshot
Empowering Job Recommendation with Large Language Models: A Generative and Attentive Approach
inferred← citeshttps://doi.org/10.1145/3837081openalex-snapshot
Hierarchical Dual Debiasing in LLM-based Recommendation
inferred← citeshttps://doi.org/10.1145/3838705openalex-snapshot
TCSE: Time-aware Causal Disentanglement with Semantic Knowledge Enhancement for Personalized Mobile Application Recommendation
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