Recommender System with LLM(Updating)

👉 Table of Contents 👈

• Survey

  • 2024

• Traditional RecSys

  • 2024

• Generative RecSys

  • 2024

• Conversational RecSys

  • 2024

• Agent RecSys

  • 2024

• Dataset

  • 2024

Survey

2024

• Recommender Systems in the Era of Large Language Models (LLMs), TKDE.📝paper

TraditionalRecSys

2024

• Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks, AAAI. 📝paper.
• LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs, AAAI. 📝paper.
• RDRec: Rationale Distillation for LLM-based Recommendation, ACL. 📝paper, 📃code.
• Sequential LLM Framework for Fashion Recommendation, EMNLP.📝paper.
• Enhancing High-order Interaction Awareness in LLM-based Recommender Model, EMNLP.📝paper, 📃code.
• LLM Based Cross Modality Retrieval to Improve Recommendation Performance, ICAC.📝paper.
• LLM-MHR: A LLM-Augmented Multimodal Hashtag Recommendation Algorithm, ICWS.📝paper.
• Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System, KDD.📝paper, 📃code.
• LLM-Rec: Personalized Recommendation via Prompting Large Language Models, NAACL.📝paper.
• CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation, RecSys.📝paper.
• LLMs for User Interest Exploration in Large-scale Recommendation Systems, RecSys.📝paper.
• Data-efficient Fine-tuning for LLM-based Recommendation, SIGIR.📝paper, 📃code.
• LLMRec: Large Language Models with Graph Augmentation for Recommendation, WSDM.📝paper, 📃code.
• Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning, WWW.📝paper.
• Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation, Arxiv.📝paper.
• LLM-assisted Explicit and Implicit Multi-interest Learning Framework for Sequential Recommendation, Arxiv.📝paper.
• Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation, Arxiv.📝paper, 📃code.
• LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation, Arxiv.📝paper.
• LLM-enhanced Reranking in Recommender Systems, Arxiv.📝paper.
• DELRec: Distilling Sequential Pattern to Enhance LLMs-based Sequential Recommendation, Arxiv.📝paper, 📃code.
• Representation Learning with Large Language Models for Recommendation, WWW.📝paper, 📃code.
• ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models, SIGIR.📝paper, 📃code.
• ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation, WWW.📝paper, 📃code.
• LLaRA: Large Language-Recommendation Assistant, SIGIR.📝paper, 📃code.
• Text-like Encoding of Collaborative Information in Large Language Models for Recommendation, ACL.📝paper, 📃code.
• Leveraging LLM Reasoning Enhances Personalized Recommender Systems, ACL.📝paper.
• LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding, RecSys.📝paper.
• TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks, RecSys.📝paper.
• Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models, SIGIR.📝paper.

GenerativeRecSys

2024

• Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers, ACL. 📝paper.

ConversationalRecSys

2024

• LGCRS: LLM-Guided Representation-Enhancing for Conversational Recommender System, * *.📝paper.
• GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs, RecSys.📝paper.
• A Hybrid Multi-Agent Conversational Recommender System with LLM and Search Engine in E-commerce, RecSys.📝paper.
• Towards Symbiotic Recommendations: Leveraging LLMs for Conversational Recommendation Systems, RecSys.📝paper.
• Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems, SIGIR.📝paper, 📃code.

AgentRecSys

2024

• RecMind: Large Language Model Powered Agent For Recommendation, NAACL. 📝paper.

Dataset

2024

• LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs, ACL. 📝paper, 📃code.
• Improving Data Efficiency for Recommenders and LLMs, RecSys.📝paper.