Large language models for generative recommendation: A survey and visionary discussions

L Li, Y Zhang, D Liu, L Chen - arXiv preprint arXiv:2309.01157, 2023 - arxiv.org
Recent years have witnessed the wide adoption of large language models (LLM) in different
fields, especially natural language processing and computer vision. Such a trend can also …

All roads lead to rome: Unveiling the trajectory of recommender systems across the llm era

B Chen, X Dai, H Guo, W Guo, W Liu, Y Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Recommender systems (RS) are vital for managing information overload and delivering
personalized content, responding to users' diverse information needs. The emergence of …

Unleashing the Retrieval Potential of Large Language Models in Conversational Recommender Systems

T Yang, L Chen - Proceedings of the 18th ACM Conference on …, 2024 - dl.acm.org
Conversational recommender systems (CRSs) aim to capture user preferences and provide
personalized recommendations through interactive natural language interaction. The recent …

Unveiling User Preferences: A Knowledge Graph and LLM-Driven Approach for Conversational Recommendation

Z Qiu, L Luo, S Pan, AWC Liew - arXiv preprint arXiv:2411.14459, 2024 - arxiv.org
Conversational Recommender Systems (CRSs) aim to provide personalized
recommendations through dynamically capturing user preferences in interactive …

Harnessing Generative Large Language Models for Dynamic Intention Understanding in Recommender Systems: Insights From a Client—Designer Interaction Case …

Z Qian, H Zhu, J Liu, Z Wan - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Generative large language models (GLLMs) have achieved extreme success in the
academic community of recommender systems. However, the application of such a powerful …

Towards Conversational Recommendation in Education: Synthesizing Conversations from Structured Course Data and Benchmarking for Conversational Curriculum …

E Steira - 2024 - ntnuopen.ntnu.no
Conversational Recommender Systems (CRS) introduce a conversational element to
traditional Recommender Systems (RS), allowing for dynamic and interactive …

[PDF][PDF] Benchmarking Large Language Models for E-commerce: From Sentiment Analysis to Causal Reasoning

Y Jin, D Wilburg - researchgate.net
This study benchmarks Large Language Models (LLMs) for their efficacy in e-commerce,
focusing on their capabilities in sentiment analysis and causal reasoning. As e-commerce …