Recommender systems in the era of large language models (llms)

Z Zhao, W Fan, J Li, Y Liu, X Mei… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an indispensable and important component, providing personalized …

A review of modern recommender systems using generative models (gen-recsys)

Y Deldjoo, Z He, J McAuley, A Korikov… - Proceedings of the 30th …, 2024 - dl.acm.org
Traditional recommender systems typically use user-item rating histories as their main data
source. However, deep generative models now have the capability to model and sample …

A survey on large language models for recommendation

L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin… - World Wide Web, 2024 - Springer
Abstract Large Language Models (LLMs) have emerged as powerful tools in the field of
Natural Language Processing (NLP) and have recently gained significant attention in the …

Large language models versus natural language understanding and generation

N Karanikolas, E Manga, N Samaridi… - Proceedings of the 27th …, 2023 - dl.acm.org
In recent years, the process humans adopt to learn a foreign language has moved from the
strict" Grammar–Translation" method, which is based mainly on grammar and syntax rules …

Genrec: Large language model for generative recommendation

J Ji, Z Li, S Xu, W Hua, Y Ge, J Tan, Y Zhang - European Conference on …, 2024 - Springer
Abstract In recent years, Large Language Models (LLMs) have emerged as powerful tools
for diverse natural language processing tasks. However, their potential for recommender …

Large language models meet collaborative filtering: An efficient all-round llm-based recommender system

S Kim, H Kang, S Choi, D Kim, M Yang… - Proceedings of the 30th …, 2024 - dl.acm.org
Collaborative filtering recommender systems (CF-RecSys) have shown successive results in
enhancing the user experience on social media and e-commerce platforms. However, as CF …