Awesome-LLM-for-RecSys

A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

🎉 Our survey paper has been accepted by ACM Transactions on Information Systems (TOIS): How Can Recommender Systems Benefit from Large Language Models: A Survey

🔔 Since our survey paper is archived, we will update the latest research works at 1.7 Newest Research Work List.

😁 I am also wrting weekly paper notes about latest LLM-enhanced RS at WeChat. Welcome to follow by scanning the QR-Code.

🚀 2024.07.09 - Paper v6 released: Our archived camera-ready version for TOIS.

Survey Paper Update Logs

• 2024.07.09 - Paper v6 released: Our camera-ready Version for TOIS, which will be archived.
• 2024.02.05 - Paper v5 released: New release with 27-page main content & more thorough taxonomies.
• 2023.06.29 - Paper v4 released: 7 papers have been newly added.
• 2023.06.28 - Paper v3 released: Fix typos.
• 2023.06.12 - Paper v2 released: Add summerization table in the appendix.
• 2023.06.09 - Paper v1 released: Initial version.

1. Papers

We classify papers according to where LLM will be adapted in the pipeline of RS, which is summarized in the figure below.

1.1 LLM for Feature Engineering

1.1.1 User- and Item-level Feature Augmentation

Name	Paper	LLM Backbone (Largest)	LLM Tuning Strategy	Publication	Link
LLM4KGC	Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs	PaLM (540B)/ ChatGPT	Frozen	Arxiv 2023	[Link]
TagGPT	TagGPT: Large Language Models are Zero-shot Multimodal Taggers	ChatGPT	Frozen	Arxiv 2023	[Link]
ICPC	Large Language Models for User Interest Journeys	LaMDA (137B)	Full Finetuning/ Prompt Tuning	Arxiv 2023	[Link]
KAR	Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models	ChatGPT	Frozen	Arxiv 2023	[Link]
PIE	Product Information Extraction using ChatGPT	ChatGPT	Frozen	Arxiv 2023	[Link]
LGIR	Enhancing Job Recommendation through LLM-based Generative Adversarial Networks	GhatGLM (6B)	Frozen	AAAI 2024	[Link]
GIRL	Generative Job Recommendations with Large Language Model	BELLE (7B)	Full Finetuning	Arxiv 2023	[Link]
LLM-Rec	LLM-Rec: Personalized Recommendation via Prompting Large Language Models	text-davinci-003	Frozen	Arxiv 2023	[Link]
HKFR	Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM	ChatGPT	Frozen	RecSys 2023	[Link]
LLaMA-E	LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following	LLaMA (30B)	LoRA	Arxiv 2023	[Link]
EcomGPT	EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce	BLOOMZ (7.1B)	Full Finetuning	Arxiv 2023	[Link]
TF-DCon	Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation	ChatGPT	Frozen	Arxiv 2023	[Link]
RLMRec	Representation Learning with Large Language Models for Recommendation	ChatGPT	Frozen	WWW 2024	[Link]
LLMRec	LLMRec: Large Language Models with Graph Augmentation for Recommendation	ChatGPT	Frozen	WSDM 2024	[Link]
LLMRG	Enhancing Recommender Systems with Large Language Model Reasoning Graphs	GPT4	Frozen	Arxiv 2023	[Link]
CUP	Recommendations by Concise User Profiles from Review Text	ChatGPT	Frozen	Arxiv 2023	[Link]
SINGLE	Modeling User Viewing Flow using Large Language Models for Article Recommendation	ChatGPT	Frozen	Arxiv 2023	[Link]
SAGCN	Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models	Vicuna (13B)	Frozen	Arxiv 2023	[Link]
UEM	User Embedding Model for Personalized Language Prompting	FLAN-T5-base (250M)	Full Finetuning	Arxiv 2024	[Link]
LLMHG	LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation	GPT4	Frozen	Arxiv 2024	[Link]
Llama4Rec	Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation	LLaMA2 (7B)	Full Finetuning	Arxiv 2024	[Link]
LLM4Vis	LLM4Vis: Explainable Visualization Recommendation using ChatGPT	ChatGPT	Frozen	EMNLP 2023	[Link]
LoRec	LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks	LLaMA2	Frozen	SIGIR 2024	[Link]

1.1.2 Instance-level Sample Generation

Name	Paper	LLM Backbone (Largest)	LLM Tuning Strategy	Publication	Link
GReaT	Language Models are Realistic Tabular Data Generators	GPT2-medium (355M)	Full Finetuning	ICLR 2023	[Link]
ONCE	ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models	ChatGPT	Frozen	WSDM 2024	[Link]
AnyPredict	AnyPredict: Foundation Model for Tabular Prediction	ChatGPT	Frozen	Arxiv 2023	[Link]
DPLLM	Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models	T5-XL (3B)	Full Finetuning	Arxiv 2023	[Link]
MINT	Large Language Model Augmented Narrative Driven Recommendations	text-davinci-003	Frozen	RecSys 2023	[Link]
Agent4Rec	On Generative Agents in Recommendation	ChatGPT	Frozen	Arxiv 2023	[Link]
RecPrompt	RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models	GPT4	Frozen	Arxiv 2023	[Link]
PO4ISR	Large Language Models for Intent-Driven Session Recommendations	ChatGPT	Frozen	Arxiv 2023	[Link]
BEQUE	Large Language Model based Long-tail Query Rewriting in Taobao Search	ChatGLM (6B)	FFT	Arxiv 2023	[Link]
Agent4Ranking	Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM	ChatGPT	Frozen	Arxiv 2023	[Link]
PopNudge	Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation	ChatGPT	Frozen	Arxiv 2023	[Link]

1.2 LLM as Feature Encoder

1.2.1 Representation Enhancement

Name	Paper	LLM Backbone (Largest)	LLM Tuning Strategy	Publication	Link
U-BERT	U-BERT: Pre-training User Representations for Improved Recommendation	BERT-base (110M)	Full Finetuning	AAAI 2021	[Link]
UNBERT	UNBERT: User-News Matching BERT for News Recommendation	BERT-base (110M)	Full Finetuning	IJCAI 2021	[Link]
PLM-NR	Empowering News Recommendation with Pre-trained Language Models	RoBERTa-base (125M)	Full Finetuning	SIGIR 2021	[Link]
Pyramid-ERNIE	Pre-trained Language Model based Ranking in Baidu Search	ERNIE (110M)	Full Finetuning	KDD 2021	[Link]
ERNIE-RS	Pre-trained Language Model for Web-scale Retrieval in Baidu Search	ERNIE (110M)	Full Finetuning	KDD 2021	[Link]
CTR-BERT	CTR-BERT: Cost-effective knowledge distillation for billion-parameter teacher models	Customized BERT (1.5B)	Full Finetuning	ENLSP 2021	[Link]
SuKD	Learning Supplementary NLP Features for CTR Prediction in Sponsored Search	RoBERTa-large (355M)	Full Finetuning	KDD 2022	[Link]
PREC	Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation	BERT-base (110M)	Full Finetuning	COLING 2022	[Link]
MM-Rec	MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation	BERT-base (110M)	Full Finetuning	SIGIR 2022	[Link]
Tiny-NewsRec	Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation	UniLMv2-base (110M)	Full Finetuning	EMNLP 2022	[Link]
PLM4Tag	PTM4Tag: Sharpening Tag Recommendation of Stack Overflow Posts with Pre-trained Models	CodeBERT (125M)	Full Finetuning	ICPC 2022	[Link]
TwHIN-BERT	TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations	BERT-base (110M)	Full Finetuning	Arxiv 2022	[Link]
LSH	Improving Code Example Recommendations on Informal Documentation Using BERT and Query-Aware LSH: A Comparative Study	BERT-base (110M)	Full Finetuning	Arxiv 2023	[Link]
LLM2BERT4Rec	Leveraging Large Language Models for Sequential Recommendation	text-embedding-ada-002	Frozen	RecSys 2023	[Link]
LLM4ARec	Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations	GPT2 (110M)	Prompt Tuning	Arxiv 2023	[Link]
TIGER	Recommender Systems with Generative Retrieval	Sentence-T5-base (223M)	Frozen	NIPS 2023	[Link]
TBIN	TBIN: Modeling Long Textual Behavior Data for CTR Prediction	BERT-base (110M)	Frozen	DLP-RecSys 2023	[Link]
LKPNR	LKPNR: LLM and KG for Personalized News Recommendation Framework	LLaMA2 (7B)	Frozen	Arxiv 2023	[Link]
SSNA	Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation	DistilRoBERTa-base (83M)	Layerwise Adapter Tuning	Arxiv 2023	[Link]
CollabContext	Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model	Instructor-XL (1.5B)	Frozen	Arxiv 2023	[Link]
LMIndexer	Language Models As Semantic Indexers	T5-base (223M)	Full Finetuning	Arxiv 2023	[Link]
Stack	A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce	BERT-base (110M)	Frozen	Arxiv 2023	[Link]
N/A	Utilizing Language Models for Tour Itinerary Recommendation	BERT-base (110M)	Full Finetuning	PMAI@IJCAI 2023	[Link]
UEM	User Embedding Model for Personalized Language Prompting	Sentence-T5-base (223M)	Frozen	Arxiv 2024	[Link]
Social-LLM	Social-LLM: Modeling User Behavior at Scale using Language Models and Social Network Data	SBERT-MPNet-base (110M)	Frozen	Arxiv 2024	[Link]
LLMRS	LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase	MPNet (110M)	Frozen	Arxiv 2024	[Link]
KERL	Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems	BERT-mini	Frozen	TNNLS	[Link]
N/A	Empowering Few-Shot Recommender Systems with Large Language Models -- Enhanced Representations	ChatGPT	Frozen	IEEE Access	[Link]
N/A	Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations	Unknown	Frozen	Arxiv 2023	[Link]

1.2.2 Unified Cross-domain Recommendation

Name	Paper	LLM Backbone (Largest)	LLM Tuning Strategy	Publication	Link
ZESRec	Zero-Shot Recommender Systems	BERT-base (110M)	Frozen	Arxiv 2021	[Link]
UniSRec	Towards Universal Sequence Representation Learning for Recommender Systems	BERT-base (110M)	Frozen	KDD 2022	[Link]
TransRec	TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback	BERT-base (110M)	Full Finetuning	Arxiv 2022	[Link]
VQ-Rec	Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders	BERT-base (110M)	Frozen	WWW 2023	[Link]
IDRec vs MoRec	Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited	BERT-base (110M)	Full Finetuning	SIGIR 2023	[Link]
TransRec	Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights	RoBERTa-base (125M)	Layerwise Adapter Tuning	Arxiv 2023	[Link]
TCF	Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights	OPT-175B (175B)	Frozen/ Full Finetuning	Arxiv 2023	[Link]
S&R Foundation	An Unified Search and Recommendation Foundation Model for Cold-Start Scenario	ChatGLM (6B)	Frozen	CIKM 2023	[Link]
MISSRec	MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation	CLIP-B/32 (400M)	Full Finetuning	MM 2023	[Link]
UFIN	UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction	FLAN-T5-base (250M)	Frozen	Arxiv 2023	[Link]
PMMRec	Multi-Modality is All You Need for Transferable Recommender Systems	RoBERTa-large (355M)	Top-2-layer Finetuning	ICDE 2024	[Link]
Uni-CTR	A Unified Framework for Multi-Domain CTR Prediction via Large Language Models	Sheared-LLaMA (1.3B)	LoRA	Arxiv 2023	[Link]
PCDR	Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation	BERT-base (110M)	Frozen	WWW 2024	[Link]

1.3 LLM as Scoring/Ranking Function

1.3.1 Item Scoring Task

Name	Paper	LLM Backbone (Largest)	LLM Tuning Strategy	Publication	Link
LMRecSys	Language Models as Recommender Systems: Evaluations and Limitations	GPT2-XL (1.5B)	Full Finetuning	ICBINB 2021	[Link]
PTab	PTab: Using the Pre-trained Language Model for Modeling Tabular Data	BERT-base (110M)	Full Finetuning	Arxiv 2022	[Link]
UniTRec	UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation	BART (406M)	Full Finetuning	ACL 2023	[Link]
Prompt4NR	Prompt Learning for News Recommendation	BERT-base (110M)	Full Finetuning	SIGIR 2023	[Link]
RecFormer	Text Is All You Need: Learning Language Representations for Sequential Recommendation	LongFormer (149M)	Full Finetuning	KDD 2023	[Link]
TabLLM	TabLLM: Few-shot Classification of Tabular Data with Large Language Models	T0 (11B)	Few-shot Parameter-effiecnt Finetuning	AISTATS 2023	[Link]
Zero-shot GPT	Zero-Shot Recommendation as Language Modeling	GPT2-medium (355M)	Frozen	Arxiv 2023	[Link]
FLAN-T5	Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction	FLAN-5-XXL (11B)	Full Finetuning	Arxiv 2023	[Link]
BookGPT	BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model	ChatGPT	Frozen	Arxiv 2023	[Link]
TALLRec	TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation	LLaMA (7B)	LoRA	RecSys 2023	[Link]
PBNR	PBNR: Prompt-based News Recommender System	T5-small (60M)	Full Finetuning	Arxiv 2023	[Link]
CR-SoRec	CR-SoRec: BERT driven Consistency Regularization for Social Recommendation	BERT-base (110M)	Full Finetuning	RecSys 2023	[Link]
PromptRec	Towards Personalized Cold-Start Recommendation with Prompts	LLaMA (7B)	Frozen	Arxiv 2023	[Link]
GLRec	Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations	BELLE-LLaMA (7B)	LoRA	Arxiv 2023	[Link]
BERT4CTR	BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction	RoBERTa-large (355M)	Full Finetuning	KDD 2023	[Link]
ReLLa	ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation	Vicuna (13B)	LoRA	WWW 2024	[Link]
TASTE	Text Matching Improves Sequential Recommendation by Reducing Popularity Biases	T5-base (223M)	Full Finetuning	CIKM 2023	[Link]
N/A	Unveiling Challenging Cases in Text-based Recommender Systems	BERT-base (110M)	Full Finetuning	RecSys Workshop 2023	[Link]
ClickPrompt	ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction	RoBERTa-large (355M)	Full Finetuning	WWW 2024	[Link]
SetwiseRank	A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models	FLAN-T5-XXL (11B)	Frozen	Arxiv 2023	[Link]
UPSR	Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language	T5-base (223M)	Full Finetuning	Arxiv 2023	[Link]
LLM-Rec	One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems	OPT (6.7B)	LoRA	Arxiv 2023	[Link]
LLMRanker	Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels	FLAN PaLM2 S	Frozen	Arxiv 2023	[Link]
CoLLM	CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation	Vicuna (7B)	LoRA	Arxiv 2023	[Link]
FLIP	FLIP: Towards Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction	RoBERTa-large (355M)	Full Finetuning	Arxiv 2023	[Link]
BTRec	BTRec: BERT-Based Trajectory Recommendation for Personalized Tours	BERT-base (110M)	Full Finetuning	Arxiv 2023	[Link]
CLLM4Rec	Collaborative Large Language Model for Recommender Systems	GPT2 (110M)	Full Finetuning	Arxiv 2023	[Link]
CUP	Recommendations by Concise User Profiles from Review Text	BERT-base (110M)	Last-layer Finetuning	Arxiv 2023	[Link]
N/A	Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers	FLAN-T5-XL (3B)	Full Finetuning	Arxiv 2023	[Link]
CoWPiRec	Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation	BERT-base (110M)	Full Finetuning	ICDM 2023	[Link]
RecExplainer	RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability	Vicuna-v1.3 (7B)	LoRA	Arxiv 2023	[Link]
E4SRec	E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation	LLaMA2 (13B)	LoRA	Arxiv 2023	[Link]
CER	The Problem of Coherence in Natural Language Explanations of Recommendations	GPT2 (110M)	Full Finetuning	ECAI 2023	[Link]
LSAT	Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems	LLaMA (7B)	LoRA	Arxiv 2023	[Link]
Llama4Rec	Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation	LLaMA2 (7B)	Full Finetuning	Arxiv 2024	[Link]

1.3.2 Item Generation Task

Name	Paper	LLM Backbone (Largest)	LLM Tuning Strategy	Publication	Link
GPT4Rec	GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation	GPT2 (110M)	Full Finetuning	Arxiv 2023	[Link]
VIP5	VIP5: Towards Multimodal Foundation Models for Recommendation	T5-base (223M)	Layerwise Adater Tuning	EMNLP 2023	[Link]
P5-ID	How to Index Item IDs for Recommendation Foundation Models	T5-small (60M)	Full Finetuning	Arxiv 2023	[Link]
FaiRLLM	Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation	ChatGPT	Frozen	RecSys 2023	[Link]
PALR	PALR: Personalization Aware LLMs for Recommendation	LLaMA (7B)	Full Finetuning	Arxiv 2023	[Link]
ChatGPT	Large Language Models are Zero-Shot Rankers for Recommender Systems	ChatGPT	Frozen	ECIR 2024	[Link]
AGR	Sparks of Artificial General Recommender (AGR): Early Experiments with ChatGPT	ChatGPT	Frozen	Arxiv 2023	[Link]
NIR	Zero-Shot Next-Item Recommendation using Large Pretrained Language Models	GPT3 (175B)	Frozen	Arxiv 2023	[Link]
GPTRec	Generative Sequential Recommendation with GPTRec	GPT2-medium (355M)	Full Finetuning	Gen-IR@SIGIR 2023	[Link]
ChatNews	A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News	ChatGPT	Frozen	Arxiv 2023	[Link]
N/A	Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences	PaLM (62B)	Frozen	RecSys 2023	[Link]
LLMSeqPrompt	Leveraging Large Language Models for Sequential Recommendation	OpenAI ada model	Finetune	RecSys 2023	[Link]
GenRec	GenRec: Large Language Model for Generative Recommendation	LLaMA (7B)	LoRA	Arxiv 2023	[Link]
UP5	UP5: Unbiased Foundation Model for Fairness-aware Recommendation	T5-base (223M)	Prefix Tuning	Arxiv 2023	[Link]
HKFR	Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM	ChatGLM (6B)	LoRA	RecSys 2023	[Link]
N/A	The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations	ChatGPT	Frozen	EAAMO 2023	[Link]
BIGRec	A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems	LLaMA (7B)	LoRA	Arxiv 2023	[Link]
KP4SR	Knowledge Prompt-tuning for Sequential Recommendation	T5-small (60M)	Full Finetuning	Arxiv 2023	[Link]
RecSysLLM	Leveraging Large Language Models for Pre-trained Recommender Systems	GLM (10B)	LoRA	Arxiv 2023	[Link]
POD	Prompt Distillation for Efficient LLM-based Recommendation	T5-small (60M)	Full Finetuning	CIKM 2023	[Link]
N/A	Evaluating ChatGPT as a Recommender System: A Rigorous Approach	ChatGPT	Frozen	Arxiv 2023	[Link]
RaRS	Retrieval-augmented Recommender System: Enhancing Recommender Systems with Large Language Models	ChatGPT	Frozen	RecSys Doctoral Symposium 2023	[Link]
JobRecoGPT	JobRecoGPT -- Explainable job recommendations using LLMs	GPT4	Frozen	Arxiv 2023	[Link]
LANCER	Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling	GPT2 (110M)	Prefix Tuning	Arxiv 2023	[Link]
TransRec	A Multi-facet Paradigm to Bridge Large Language Model and Recommendation	LLaMA (7B)	LoRA	Arxiv 2023	[Link]
AgentCF	AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems	text-davinci-003 & gpt-3.5-turbo	Frozen	WWW 2024	[Link]
P4LM	Factual and Personalized Recommendations using Language Models and Reinforcement Learning	PaLM2-XS	Full Finetuning	Arxiv 2023	[Link]
InstructMK	Multiple Key-value Strategy in Recommendation Systems Incorporating Large Language Model	LLaMA (7B)	Full Finetuning	CIKM GenRec 2023	[Link]
LightLM	LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation	T5-small (60M)	Full Finetuning	Arxiv 2023	[Link]
LlamaRec	LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking	LLaMA2 (7B)	QLoRA	PGAI@CIKM 2023	[Link]
N/A	Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study	GPT-4V	Frozen	Arxiv 2023	[Link]
N/A	Exploring Fine-tuning ChatGPT for News Recommendation	ChatGPT	gpt-3.5-turbo finetuning API	Arxiv 2023	[Link]
N/A	Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study	ChatGPT	Frozen	Arxiv 2023	[Link]
LC-Rec	Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation	LLaMA (7B)	LoRA	Arxiv 2023	[Link]
DOKE	Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations	ChatGPT	Frozen	Arxiv 2023	[Link]
ControlRec	ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation	T5-base (223M)	Full Finetuning	Arxiv 2023	[Link]
LLaRA	LLaRA: Large Language-Recommendation Assistant	LLaMA2 (7B)	LoRA	SIGIR 2024	[Link]
PO4ISR	Large Language Models for Intent-Driven Session Recommendations	ChatGPT	Frozen	Arxiv 2023	[Link]
DRDT	DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation	ChatGPT	Frozen	Arxiv 2023	[Link]
RecPrompt	RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models	GPT4	Frozen	Arxiv 2023	[Link]
LiT5	Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models	T5-XL (3B)	Full Finetuning	Arxiv 2023	[Link]
STELLA	Large Language Models are Not Stable Recommender Systems	ChatGPT	Frozen	Arxiv 2023	[Link]
Llama4Rec	Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation	LLaMA2 (7B)	Full Finetuning	Arxiv 2024	[Link]
RECLLM	Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency	ChatGPT	Frozen	Arxiv 2024	[Link]
DEALRec	Data-efficient Fine-tuning for LLM-based Recommendation	LLaMA (7B)	LoRA	Arxiv 2024	[Link]

1.3.3 Hybrid Task

Name	Paper	LLM Backbone (Largest)	LLM Tuning Strategy	Publication	Link
P5	Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)	T5-base (223M)	Full Finetuning	RecSys 2022	[Link]
M6-Rec	M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems	M6-base (300M)	Option Tuning	Arxiv 2022	[Link]
InstructRec	Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach	FLAN-T5-XL (3B)	Full Finetuning	Arxiv 2023	[Link]
ChatGPT	Is ChatGPT a Good Recommender? A Preliminary Study	ChatGPT	Frozen	Arxiv 2023	[Link]
ChatGPT	Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent	ChatGPT	Frozen	Arxiv 2023	[Link]
ChatGPT	Uncovering ChatGPT's Capabilities in Recommender Systems	ChatGPT	Frozen	RecSys 2023	[Link]
BDLM	Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation	Vicuna (7B)	Full Finetuning	Arxiv 2023	[Link]
RecRanker	RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation	LLaMA2 (13B)	Full Finetuning	Arxiv 2023	[Link]

1.4 LLM for User Interaction

1.4.1 Task-oriented User Interaction

Name	Paper	LLM Backbone (Largest)	LLM Tuning Strategy	Publication	Link
TG-ReDial	Towards Topic-Guided Conversational Recommender System	BERT-base (110M) & GPT2 (110M)	Unknown	COLING 2020	[Link]
TCP	Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems	BERT-base (110M)	Full Finetuning	Arxiv 2022	[Link]
MESE	Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta-Information	DistilBERT (67M) & GPT2 (110M)	Full Finetuning	ACL 2022	[Link]
UniMIND	A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	BART-base (139M)	Full Finetuning	ACM TOIS 2023	[Link]
VRICR	Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation	BERT-base (110M)	Full Finetuning	WSDM 2023	[Link]
KECR	Explicit Knowledge Graph Reasoning for Conversational Recommendation	BERT-base (110M) & GPT2 (110M)	Frozen	ACM TIST 2023	[Link]
N/A	Large Language Models as Zero-Shot Conversational Recommenders	GPT4	Frozen	CIKM 2023	[Link]
MuseChat	MuseChat: A Conversational Music Recommendation System for Videos	Vicuna (7B)	LoRA	Arxiv 2023	[Link]
N/A	Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue	Chinese-Alpaca (7B)	LoRA	EMNLP 2023 Findings	[Link]
N/A	ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback	ChatGPT	Frozen	Arxiv 2024	[Link]

1.4.2 Open-ended User Interaction

Name	Paper	LLM Backbone (Largest)	LLM Tuning Strategy	Publication	Link
BARCOR	BARCOR: Towards A Unified Framework for Conversational Recommendation Systems	BART-base (139M)	Selective-layer Finetuning	Arxiv 2022	[Link]
RecInDial	RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models	DialoGPT (110M)	Full Finetuning	AACL 2022	[Link]
UniCRS	Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning	DialoGPT-small (176M)	Frozen	KDD 2022	[Link]
T5-CR	Multi-Task End-to-End Training Improves Conversational Recommendation	T5-base (223M)	Full Finetuning	Arxiv 2023	[Link]
TtW	Talk the Walk: Synthetic Data Generation for Conversational Music Recommendation	T5-base (223M) & T5-XXL (11B)	Full Finetuning & Frozen	Arxiv 2023	[Link]
N/A	Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models	ChatGPT	Frozen	EMNLP 2023	[Link]
PECRS	Parameter-Efficient Conversational Recommender System as a Language Processing Task	GPT2-medium (355M)	LoRA	EACL 2024	[Link]

1.5 LLM for RS Pipeline Controller

Name	Paper	LLM Backbone (Largest)	LLM Tuning Strategy	Publication	Link
Chat-REC	Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System	ChatGPT	Frozen	Arxiv 2023	[Link]
RecLLM	Leveraging Large Language Models in Conversational Recommender Systems	LLaMA (7B)	Full Finetuning	Arxiv 2023	[Link]
RAH	RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models	GPT4	Frozen	Arxiv 2023	[Link]
RecMind	RecMind: Large Language Model Powered Agent For Recommendation	ChatGPT	Frozen	NAACL 2024	[Link]
InteRecAgent	Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations	GPT4	Frozen	Arxiv 2023	[Link]
CORE	Lending Interaction Wings to Recommender Systems with Conversational Agents	N/A	N/A	NIPS 2023	[Link]
LLMCRS	A Large Language Model Enhanced Conversational Recommender System	LLaMA (7B)	Full Finetuning	Arxiv 2023	[Link]

1.6 Related Survey Papers

Paper	Publication	Link
A Survey on Efficient Solutions of Large Language Models for Recommendation	Arxiv 2024	[Link]
Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond	Arxiv 2024	[Link]
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era	KDD 2024	[Link]
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era	Arxiv 2024	[Link]
Survey for Landing Generative AI in Social and E-commerce Recsys - the Industry Perspectives	Arxiv 2024	[Link]
A Survey of Generative Search and Recommendation in the Era of Large Language Models	Arxiv 2024	[Link]
When Search Engine Services meet Large Language Models: Visions and Challenges	Arxiv 2024	[Link]
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)	Arxiv 2024	[Link]
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review	Arxiv 2024	[Link]
Foundation Models for Recommender Systems: A Survey and New Perspectives	Arxiv 2024	[Link]
Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis	Arixv 2024	[Link]
User Modeling in the Era of Large Language Models: Current Research and Future Directions	IEEE Data Engineering Bulletin 2023	[Link]
A Survey on Large Language Models for Personalized and Explainable Recommendations	Arxiv 2023	[Link]
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions	Arxiv 2023	[Link]
Large Language Models for Information Retrieval: A Survey	Arxiv 2023	[Link]
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities	Arxiv 2023	[Link]
Recommender Systems in the Era of Large Language Models (LLMs)	Arxiv 2023	[Link]
A Survey on Large Language Models for Recommendation	Arxiv 2023	[Link]
Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems	TACL 2023	[Link]
Self-Supervised Learning for Recommender Systems: A Survey	TKDE 2022	[Link]

1.7 Newest Research Work List

Paper	Publication	Link
Large Language Model Can Interpret Latent Space of Sequential Recommender	Arxiv 2023	[Link]
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging	Arxiv 2023	[Link]
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning	Arxiv 2024	[Link]
Evaluation of Synthetic Datasets for Conversational Recommender Systems	Arxiv 2023	[Link]
Generative Recommendation: Towards Next-generation Recommender Paradigm	Arxiv 2023	[Link]
Towards Personalized Prompt-Model Retrieval for Generative Recommendation	Arxiv 2023	[Link]
Generative Next-Basket Recommendation	RecSys 2023	[Link]
Unlocking the Potential of Large Language Models for Explainable Recommendations	Arxiv 2023	[Link]
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs	Falcon (40B)	Frozen
Improving Sequential Recommendations with LLMs	Arxiv 2024	[Link]
A Multi-Agent Conversational Recommender System	Arxiv 2024	[Link]
TransFR: Transferable Federated Recommendation with Pre-trained Language Models	Arxiv 2024	[Link]
Large Language Model Distilling Medication Recommendation Model	Arxiv 2024	[Link]
Uncertainty-Aware Explainable Recommendation with Large Language Models	Arxiv 2024	[Link]
Natural Language User Profiles for Transparent and Scrutable Recommendations	Arxiv 2024	[Link]
Leveraging LLMs for Unsupervised Dense Retriever Ranking	Arxiv 2024	[Link]
RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation	Arxiv 2024	[Link]
A Multi-Agent Conversational Recommender System	Arxiv 2024	[Link]
Fairly Evaluating Large Language Model-based Recommendation Needs Revisit the Cross-Entropy Loss	Arxiv 2024	[Link]
SearchAgent: A Lightweight Collaborative Search Agent with Large Language Models	Arxiv 2024	[Link]
Large Language Model Interaction Simulator for Cold-Start Item Recommendation	Arxiv 2024	[Link]
Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation	Arxiv 2024	[Link]
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data	Arxiv 2024	[Link]
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations	Arxiv 2024	[Link]
LLM-based Federated Recommendation	Arxiv 2024	[Link]
Rethinking Large Language Model Architectures for Sequential Recommendations	Arxiv 2024	[Link]
Large Language Model with Graph Convolution for Recommendation	Arxiv 2024	[Link]
Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models	Arxiv 2024	[Link]
Enhancing Recommendation Diversity by Re-ranking with Large Language Models	Arxiv 2024	[Link]
Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation	Arxiv 2024	[Link]
SPAR: Personalized Content-Based Recommendation via Long Engagement Attention	Arxiv 2024	[Link]
Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism	WWW 2024	[Link]
Large Language Models as Data Augmenters for Cold-Start Item Recommendation	Arxiv 2024	[Link]
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from Large Language Models	Arxiv 2024	[Link]
LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation	Arxiv 2024	[Link]
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph	Arxiv 2024	[Link]
User-LLM: Efficient LLM Contextualization with User Embeddings	Arxiv 2024	[Link]
Stealthy Attack on Large Language Model based Recommendation	Arxiv 2024	[Link]
Multi-Agent Collaboration Framework for Recommender Systems	Arxiv 2024	[Link]
Item-side Fairness of Large Language Model-based Recommendation System	WWW 2024	[Link]
Integrating Large Language Models with Graphical Session-Based Recommendation	Arxiv 2024	[Link]
Language-Based User Profiles for Recommendation	LLM-IGS@WSDM2024	[Link]
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents	Arxiv 2024	[Link]
Prospect Personalized Recommendation on Large Language Model-based Agent Platform	Arxiv 2024	[Link]
Sequence-level Semantic Representation Fusion for Recommender Systems	Arxiv 2024	[Link]
Corpus-Steered Query Expansion with Large Language Models	ECAL 2024	[Link]
NoteLLM: A Retrievable Large Language Model for Note Recommendation	WWW 2024	[Link]
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce	WWW 2024	[Link]
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction	Arxiv 2024	[Link]
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning	Arxiv 2024	[Link]
InteraRec: Interactive Recommendations Using Multimodal Large Language Models	Arxiv 2024	[Link]
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework	CHASE 2024	[Link]
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation	Arxiv 2024	[Link]
Generative News Recommendation	WWW 2024	[Link]
Bridging Language and Items for Retrieval and Recommendation	Arxiv 2024	[Link]
Can Small Language Models be Good Reasoners for Sequential Recommendation?	WWW 2024	[Link]
Aligning Large Language Models for Controllable Recommendations	Arxiv 2024	[Link]
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks	WWW 2024	[Link]
Towards Graph Foundation Models for Personalization	Arxiv 2024	[Link]
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System	Arxiv 2024	[Link]
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation	Arxiv 2024	[Link]
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems	WWW 2024 Demo	[Link]
KELLMRec: Knowledge-Enhanced Large Language Models for Recommendation	Arxiv 2024	[Link]
USimAgent: Large Language Models for Simulating Search Users	Arxiv 2024	[Link]
CALRec: Contrastive Alignment of Generative LLMs For Sequential Recommendation	Arxiv 2024	[Link]
Integrating Large Language Models with Graphical Session-Based Recommendation	Arxiv 2024	[Link]
Language-Based User Profiles for Recommendation	LLM-IGS@WSDM2024	[Link]
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents	Arxiv 2024	[Link]
Prospect Personalized Recommendation on Large Language Model-based Agent Platform	Arxiv 2024	[Link]
Sequence-level Semantic Representation Fusion for Recommender Systems	Arxiv 2024	[Link]
Corpus-Steered Query Expansion with Large Language Models	EACL 2024	[Link]
NoteLLM: A Retrievable Large Language Model for Note Recommendation	WWW 2024	[Link]
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce	WWW 2024	[Link]
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction	SIGIR 2024	[Link]
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning	SIGIR 2024	[Link]
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation	FCS	[Link]
Generative News Recommendation	WWW 2024	[Link]
Bridging Language and Items for Retrieval and Recommendation	Arxiv 2024	[Link]
Can Small Language Models be Good Reasoners for Sequential Recommendation?	WWW 2024	[Link]
Aligning Large Language Models for Controllable Recommendations	Arxiv 2024	[Link]
Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks	WWW 2024	[Link]
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System	Arxiv 2024	[Link]
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation	Arxiv 2024	[Link]
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems	WWW 2024	[Link]
KELLMRec: Knowledge-Enhanced Large Language Models for Recommendation	Arxiv 2024	[Link]
Towards Graph Foundation Models for Personalization	Arxiv 2024	[Link]
USimAgent: Large Language Models for Simulating Search Users	Arxiv 2024	[Link]
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation	NAACL 2024	[Link]
PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction	WWW 2024	[Link]
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation	Arxiv 2024	[Link]
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond	ICLR 2024	[Link]
Harnessing Large Language Models for Text-Rich Sequential Recommendation	Arxiv 2024	[Link]
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation	Arxiv 2024	[Link]
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations	Arxiv 2024	[Link]
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models	Arxiv 2024	[Link]
Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling	Arxiv 2024	[Link]
Large Language Models Enhanced Collaborative Filtering	Arxiv 2024	[Link]
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users	LREC-COLING 2024	[Link]
Sequential Recommendation with Latent Relations based on Large Language Model	Arxiv 2024	[Link]
Enhanced Generative Recommendation via Content and Collaboration Integration	Arxiv 2024	[Link]
To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models	Arxiv 2024	[Link]
IDGenRec: LLM-RecSys Alignment with Textual ID Learning	SIGIR 2024	[Link]
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors	SIGIR 2024	[Link]
Make Large Language Model a Better Ranker	Arxiv 2024	[Link]
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers	NAACL 2024	[Link]
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT	SIGIR 2024	[Link]
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation	Arxiv 2024	[Link]
Tired of Plugins? Large Language Models Can Be End-To-End Recommender	Arxiv 2024	[Link]
Aligning Large Language Models with Recommendation Knowledge	NAACL 2024	[Link]
Enhancing Content-based Recommendation via Large Language Model	Arxiv 2024	[Link]
DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level	Arxiv 2024	[Link]
Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation	Arxiv 2024	[Link]
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models	Arxiv 2024	[Link]
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer	Arxiv 2024	[Link]
PMG : Personalized Multimodal Generation with Large Language Models	Arxiv 2024	[Link]
The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation	Arxiv 2024	[Link]
Exact and Efficient Unlearning for Large Language Model-based Recommendation	Arxiv 2024	[Link]
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System	Arxiv 2024	[Link]
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems	SIGIR 2024	[Link]
Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers	Arxiv 2024	[Link]
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm	Arxiv 2024	[Link]
MMGRec: Multimodal Generative Recommendation with Transformer Model	Arxiv 2024	[Link]
Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search	Arxiv 2024	[Link]
Contrastive Quantization based Semantic Code for Generative Recommendation	Arxiv 2024	[Link]
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction	Arxiv 2024	[Link]
Large Language Models for Next Point-of-Interest Recommendation	SIGIR 2024	[Link]
Ranked List Truncation for Large Language Model-based Re-Ranking	SIGIR 2024	[Link]
Large Language Models as Conversational Movie Recommenders: A User Study	Arxiv 2024	[Link]
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model	Arxiv 2024	[Link]
Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations	Arxiv 2024	[Link]
FairEvalLLM. A Comprehensive Framework for Benchmarking Fairness in Large Language Model Recommender Systems	Arxiv 2024	[Link]
Improve Temporal Awareness of LLMs for Sequential Recommendation	Arxiv 2024	[Link]
CALRec: Contrastive Alignment of Generative LLMs For Sequential Recommendation	Arxiv 2024	[Link]
Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application	Arxiv 2024	[Link]
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation	Arxiv 2024	[Link]
Learnable Tokenizer for LLM-based Generative Recommendation	Arxiv 2024	[Link]
CELA: Cost-Efficient Language Model Alignment for CTR Prediction	Arxiv 2024	[Link]
RDRec: Rationale Distillation for LLM-based Recommendation	ACL 2024	[Link]
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations	Arxiv 2024	[Link]
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation	Arxiv 2024	[Link]
RecGPT: Generative Pre-training for Text-based Recommendation	ACL 2024	[Link]
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning	SIGIR 2024	[Link]
Finetuning Large Language Model for Personalized Ranking	Arxiv 2024	[Link]
LLMs for User Interest Exploration: A Hybrid Approach	Arxiv 2024	[Link]
NoteLLM-2: Multimodal Large Representation Models for Recommendation	Arxiv 2024	[Link]
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation	Arxiv 2024	[Link]
SLMRec: Empowering Small Language Models for Sequential Recommendation	Arxiv 2024	[Link]
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations	Arxiv 2024	[Link]
Generating Query Recommendations via LLMs	Arxiv 2024	[Link]
Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item	Arxiv 2024	[Link]
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation	KDD 2024	[Link]
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking	Arxiv 2024	[Link]
A Practice-Friendly Two-Stage LLM-Enhanced Paradigm in Sequential Recommendation	Arxiv 2024	[Link]
Large Language Models as Recommender Systems: A Study of Popularity Bias	Gen-IR@SIGIR24	[Link]
Privacy in LLM-based Recommendation: Recent Advances and Future Directions	Arxiv 2024	[Link]
An LLM-based Recommender System Environment	Arxiv 2024	[Link]
Robust Interaction-based Relevance Modeling for Online E-Commerce and LLM-based Retrieval	ECML-PKDD 2024	[Link]
Large Language Models Make Sample-Efficient Recommender Systems	FCS	[Link]
XRec: Large Language Models for Explainable Recommendation	Arxiv 2024	[Link]
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation	Arxiv 2024	[Link]
Large Language Models as Evaluators for Recommendation Explanations	Arxiv 2024	[Link]
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation	ACL 2024	[Link]
Item-Language Model for Conversational Recommendation	Arxiv 2024	[Link]
Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens	Arxiv 2024	[Link]
On Softmax Direct Preference Optimization for Recommendation	Arxiv 2024	[Link]
TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation	Arxiv 2024	[Link]
DELRec: Distilling Sequential Pattern to Enhance LLM-based Recommendation	Arxiv 2024	[Link]
TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy	Arxiv 2024	[Link]
Multi-Layer Ranking with Large Language Models for News Source Recommendation	SIGIR 2024	[Link]
Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information Retrieval	Arxiv 2024	[Link]
LLM-enhanced Reranking in Recommender Systems	Arxiv 2024	[Link]
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation	Arxiv 2024	[Link]
Taxonomy-Guided Zero-Shot Recommendations with LLMs	Arxiv 2024	[Link]
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration	KDD 2024	[Link]
An Investigation of Prompt Variations for Zero-shot LLM-based Rankers	Arxiv 2024	[Link]
Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning	KDD 2024	[Link]
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning	Arxiv 2024	[Link]
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation	Arxiv 2024	[Link]
FIRST: Faster Improved Listwise Reranking with Single Token Decoding	Arxiv 2024	[Link]
LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning	Arxiv 2024	[Link]
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task	Arxiv 2024	[Link]
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation	Arxiv 2024	[Link]
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers	ACL 2024	[Link]
ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions	Arxiv 2024	[Link]
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models	Arxiv 2024	[Link]
Preference Distillation for Personalized Generative Recommendation	Arxiv 2024	[Link]
Towards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation	Arxiv 2024	[Link]
Language Models Encode Collaborative Signals in Recommendation	Arxiv 2024	[Link]
A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model	Arxiv 2024	[Link]
LLMGR: Large Language Model-based Generative Retrieval in Alipay Search	SIGIR 2024	[Link]
Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models	SIGIR 2024	[Link]
Reinforced Prompt Personalization for Recommendation with Large Language Models	Arxiv 2024	[Link]
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals	Arxiv 2024	[Link]
Generative Retrieval with Preference Optimization for E-commerce Search	Arxiv 2024	[Link]
GenRec: Generative Personalized Sequential Recommendation	Arxiv 2024	[Link]
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval	Arxiv 2024	[Link]
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights	CIKM 2024	[Link]
Leveraging LLM Reasoning Enhances Personalized Recommender Systems	ACL 2024	[Link]
Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion	Arxiv 2024	[Link]
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation	Arxiv 2024	[Link]
Exploring Query Understanding for Amazon Product Search	Arxiv 2024	[Link]
A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems	Arxiv 2024	[Link]
Prompt Tuning as User Inherent Profile Inference Machine	Arxiv 2024	[Link]
Beyond Inter-Item Relations: Dynamic Adaptive Mixture-of-Experts for LLM-Based Sequential Recommendation	Arxiv 2024	[Link]
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation	Arxiv 2024	[Link]
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System	Arxiv 2024	[Link]
LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation	Arxiv 2024	[Link]
EasyRec: Simple yet Effective Language Models for Recommendation	Arxiv 2024	[Link]
Collaborative Cross-modal Fusion with Large Language Model for Recommendation	CIKM 2024	[Link]
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation	Arxiv 2024	[Link]
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models	Arxiv 2024	[Link]
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation	Arxiv 2024	[Link]
GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts	Arxiv 2024	[Link]
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation	Arxiv 2024	[Link]
DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems	Arxiv	[Link]
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding	RecSys 2024	[Link]
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation	Arxiv 2024	[Link]
Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders	Arxiv 2024	[Link]
HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation	KaLLM 2024	[Link]
An Extremely Data-efficient and Generative LLM-based Reinforcement Learning Agent for Recommenders	Arxiv 2024	[Link]
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent	KDD 2024	[Link]
Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information	Arxiv 2024	[Link]
MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation	CIKM 2024	[Link]
End-to-End Learnable Item Tokenization for Generative Recommendation	Arxiv 2024	[Link]
Incorporate LLMs with Influential Recommender System	Arxiv 2024	[Link]
Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration	Arxiv 2024	[Link]
STORE: Streamlining Semantic Tokenization and Generative Recommendation with A Single LLM	Arxiv 2024	[Link]
Multilingual Prompts in LLM-Based Recommenders: Performance Across Languages	Arxiv 2024	[Link]
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator	Arxiv 2024	[Link]
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation	Arxiv 2024	[Link]
Chain-of-thought prompting empowered generative user modeling for personalized recommendation	Neural Computing and Applications	[Link]
Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations	Arxiv 2024	[Link]
Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference	CIKM 2024	[Link]
LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems	Arxiv 2024	[Link]
FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement	Arxiv 2024	[Link]
Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation	Arxiv 2024	[Link]
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling	Arxiv 2024	[Link]
Large Language Model Ranker with Graph Reasoning for Zero-Shot Recommendation	ICANN 2024	[Link]
User Knowledge Prompt for Sequential Recommendation	RecSys 2024	[Link]
RLRF4Rec: Reinforcement Learning from Recsys Feedback for Enhanced Recommendation Reranking	Arxiv 2024	[Link]
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	Arxiv 2024	[Link]
TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks	RecSys 2024	[Link]
SeCor: Aligning Semantic and Collaborative Representations by Large Language Models for Next-Point-of-Interest Recommendations	RecSys 2024	[Link]
Efficient Inference for Large Language Model-based Generative Recommendation	Arxiv 2024	[Link]
Instructing and Prompting Large Language Models for Explainable Cross-domain Recommendations	RecSys 2024	[Link]
ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool	RecSys 2024	[Link]
Inductive Generative Recommendation via Retrieval-based Speculation	Arxiv 2024	[Link]
Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation	Arxiv 2024	[Link]
Towards Scalable Semantic Representation for Recommendation	Arxiv 2024	[Link]
Large Language Models as Narrative-Driven Recommenders	Arxiv 2024	[Link]
The Moral Case for Using Language Model Agents for Recommendation	Arxiv 2024	[Link]
RosePO: Aligning LLM-based Recommenders with Human Values	Arxiv 2024	[Link]
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems	Arxiv 2024	[Link]
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations	Arxiv 2024	[Link]
Improving Pinterest Search Relevance Using Large Language Models	CIKM 2024 Workshop	[Link]
STAR: A Simple Training-free Approach for Recommendations using Large Language Models	Arxiv 2024	[Link]
End-to-end Training for Recommendation with Language-based User Profiles	Arxiv 2024	[Link]
Knowledge Graph Enhanced Language Agents for Recommendation	Arxiv 2024	[Link]
Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs	Arxiv 2024	[Link]
Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning	Arxiv 2024	[Link]
ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning	Arxiv 2024	[Link]
Beyond Utility: Evaluating LLM as Recommender	Arxiv 2024	[Link]
Enhancing ID-based Recommendation with Large Language Models	Arxiv 2024	[Link]
LLM4PR: Improving Post-Ranking in Search Engine with Large Language Models	Arxiv 2024	[Link]
Proactive Detection and Calibration of Seasonal Advertisements with Multimodal Large Language Models	Arxiv 2024	[Link]
Enhancing ID-based Recommendation with Large Language Models	Arxiv 2024	[Link]
Transferable Sequential Recommendation via Vector Quantized Meta Learning	Arxiv 2024	[Link]
Self-Calibrated Listwise Reranking with Large Language Models	Arxiv 2024	[Link]
Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels Reconstruction	ACL Findings 2024	[Link]
Unleashing the Power of Large Language Models for Group POI Recommendations	Avrxi 2024	[Link]
Scaling Laws for Online Advertisement Retrieval	Arxiv 2024	[Link]
Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning	Arxiv 2024	[Link]

2. Datasets & Benchmarks

The datasets & benchmarks for LLM-related RS topics should maintain the original semantic/textual features, instead of anonymous feature IDs.

2.1 Datasets

Dataset	RS Scenario	Link
AmazonQAC	Query Autocomplete	[Link]
NineRec	9 Domains	[Link]
MicroLens	Video Streaming	[Link]
Amazon-Review 2023	E-commerce	[Link]
Reddit-Movie	Conversational & Movie	[Link]
Amazon-M2	E-commerce	[Link]
MovieLens	Movie	[Link]
Amazon	E-commerce	[Link]
BookCrossing	Book	[Link]
GoodReads	Book	[Link]
Anime	Anime	[Link]
PixelRec	Short Video	[Link]
Netflix	Movie	[Link]

2.2 Benchmarks

Benchmarks	Webcite Link	Paper
Shopping MMLU	[Paper]
Amazon-M2 (KDD Cup 2023)	[Link]	[Paper]
LLMRec	[Link]	[Paper]
OpenP5	[Link]	[Paper]
TABLET	[Link]	[Paper]

3. Related Repositories

Repo Name	Maintainer
rs-llm-paper-list	wwliu555
awesome-recommend-system-pretraining-papers	archersama
LLM4Rec	WLiK
Awesome-LLM4RS-Papers	nancheng58
LLM4IR-Survey	RUC-NLPIR

Contributing

👍 Welcome to contribute to this repository.

If you have come across relevant resources or found some errors in this repesitory, feel free to open an issue or submit a pull request.

Contact: chiangel [DOT] ljh [AT] gmail [DOT] com

Citation

@article{10.1145/3678004,
author = {Lin, Jianghao and Dai, Xinyi and Xi, Yunjia and Liu, Weiwen and Chen, Bo and Zhang, Hao and Liu, Yong and Wu, Chuhan and Li, Xiangyang and Zhu, Chenxu and Guo, Huifeng and Yu, Yong and Tang, Ruiming and Zhang, Weinan},
title = {How Can Recommender Systems Benefit from Large Language Models: A Survey},
year = {2024},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
issn = {1046-8188},
url = {https://doi.org/10.1145/3678004},
doi = {10.1145/3678004},
journal = {ACM Trans. Inf. Syst.},
month = {jul}
}