Large language models for generative recommendation: A survey and visionary discussions
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 …
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
Recommender systems (RS) are vital for managing information overload and delivering
personalized content, responding to users' diverse information needs. The emergence of …
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 …
personalized recommendations through interactive natural language interaction. The recent …
Unveiling User Preferences: A Knowledge Graph and LLM-Driven Approach for Conversational Recommendation
Conversational Recommender Systems (CRSs) aim to provide personalized
recommendations through dynamically capturing user preferences in interactive …
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 …
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 …
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 …
focusing on their capabilities in sentiment analysis and causal reasoning. As e-commerce …