Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Lemei, Liu, Peng, Deldjoo, Yashar, Zheng, Yong, Gulla, Jon Atle |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems
by: Maragheh, Reza Yousefi, et al.
Published: (2025)
by: Maragheh, Reza Yousefi, et al.
Published: (2025)
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency
by: Deldjoo, Yashar
Published: (2024)
by: Deldjoo, Yashar
Published: (2024)
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, et al.
Published: (2024)
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, et al.
Published: (2024)
Agentic Personalized Fashion Recommendation in the Age of Generative AI: Challenges, Opportunities, and Evaluation
by: Deldjoo, Yashar, et al.
Published: (2025)
by: Deldjoo, Yashar, et al.
Published: (2025)
RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation
by: Tourani, Ali, et al.
Published: (2025)
by: Tourani, Ali, et al.
Published: (2025)
Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation
by: Epure, Elena V., et al.
Published: (2025)
by: Epure, Elena V., et al.
Published: (2025)
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems
by: Nazary, Fatemeh, et al.
Published: (2025)
by: Nazary, Fatemeh, et al.
Published: (2025)
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems
by: Nazary, Fatemeh, et al.
Published: (2025)
by: Nazary, Fatemeh, et al.
Published: (2025)
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
by: Deldjoo, Yashar, et al.
Published: (2025)
by: Deldjoo, Yashar, et al.
Published: (2025)
ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation
by: Nazary, Fatemeh, et al.
Published: (2025)
by: Nazary, Fatemeh, et al.
Published: (2025)
TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations
by: Banerjee, Ashmi, et al.
Published: (2026)
by: Banerjee, Ashmi, et al.
Published: (2026)
AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion
by: Fasano, Giuseppe, et al.
Published: (2025)
by: Fasano, Giuseppe, et al.
Published: (2025)
NorwAI's Large Language Models: Technical Report
by: Gulla, Jon Atle, et al.
Published: (2026)
by: Gulla, Jon Atle, et al.
Published: (2026)
Multi-modal Generative Models in Recommendation System
by: Ramisa, Arnau, et al.
Published: (2024)
by: Ramisa, Arnau, et al.
Published: (2024)
Towards Recommender Systems LLMs Playground (RecSysLLMsP): Exploring Polarization and Engagement in Simulated Social Networks
by: Bojic, Ljubisa, et al.
Published: (2025)
by: Bojic, Ljubisa, et al.
Published: (2025)
SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders
by: Banerjee, Ashmi, et al.
Published: (2025)
by: Banerjee, Ashmi, et al.
Published: (2025)
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, et al.
Published: (2024)
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
by: Bao, Keqin, et al.
Published: (2023)
by: Bao, Keqin, et al.
Published: (2023)
Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
by: Hu, Jinxin, et al.
Published: (2026)
by: Hu, Jinxin, et al.
Published: (2026)
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
by: Zheng, Lei, et al.
Published: (2024)
by: Zheng, Lei, et al.
Published: (2024)
Recommendation with Generative Models
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, et al.
Published: (2024)
Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models
by: Zheng, Kai, et al.
Published: (2024)
by: Zheng, Kai, et al.
Published: (2024)
Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model
by: Yan, Bencheng, et al.
Published: (2025)
by: Yan, Bencheng, et al.
Published: (2025)
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models
by: Xi, Yunjia, et al.
Published: (2024)
by: Xi, Yunjia, et al.
Published: (2024)
Federated Adaptation for Foundation Model-based Recommendations
by: Zhang, Chunxu, et al.
Published: (2024)
by: Zhang, Chunxu, et al.
Published: (2024)
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
by: Lin, Xinyu, et al.
Published: (2023)
by: Lin, Xinyu, et al.
Published: (2023)
Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities
by: Moshfeghi, Yashar, et al.
Published: (2025)
by: Moshfeghi, Yashar, et al.
Published: (2025)
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
by: Xi, Yunjia, et al.
Published: (2024)
by: Xi, Yunjia, et al.
Published: (2024)
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges
by: Wang, Bohao, et al.
Published: (2026)
by: Wang, Bohao, et al.
Published: (2026)
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation
by: Zhu, Jiachen, et al.
Published: (2024)
by: Zhu, Jiachen, et al.
Published: (2024)
Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines
by: Gao, Chen, et al.
Published: (2025)
by: Gao, Chen, et al.
Published: (2025)
Algorithm Adaptation Bias in Recommendation System Online Experiments
by: Zheng, Chen, et al.
Published: (2025)
by: Zheng, Chen, et al.
Published: (2025)
Generative Recommendation: Towards Next-generation Recommender Paradigm
by: Wang, Wenjie, et al.
Published: (2023)
by: Wang, Wenjie, et al.
Published: (2023)
Structural and Disentangled Adaptation of Large Vision Language Models for Multimodal Recommendation
by: Rao, Zhongtao, et al.
Published: (2025)
by: Rao, Zhongtao, et al.
Published: (2025)
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems
by: Shi, Tianhao, et al.
Published: (2023)
by: Shi, Tianhao, et al.
Published: (2023)
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
by: Wang, Shuyao, et al.
Published: (2024)
by: Wang, Shuyao, et al.
Published: (2024)
MindRec: A Diffusion-driven Coarse-to-Fine Paradigm for Generative Recommendation
by: Gao, Mengyao, et al.
Published: (2025)
by: Gao, Mengyao, et al.
Published: (2025)
Intent Representation Learning with Large Language Model for Recommendation
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
Similar Items
-
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems
by: Maragheh, Reza Yousefi, et al.
Published: (2025) -
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency
by: Deldjoo, Yashar
Published: (2024) -
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024) -
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024) -
Agentic Personalized Fashion Recommendation in the Age of Generative AI: Challenges, Opportunities, and Evaluation
by: Deldjoo, Yashar, et al.
Published: (2025)