Recommender Systems in the Era of Large Language Models (LLMs)

arXiv:2307.02046v3 Announce Type: replace-cross
Abstract: With the prosperity of e-commerce and web applications, Recommender Systems (RecSys) have become an important component of our daily life, providing personalized suggestions that cater to user preferences. While Deep Neural Networks (DNNs) have made significant advancements in enhancing recommender systems by modeling user-item interactions and incorporating textual side information, DNN-based methods still face limitations, such as difficulties in understanding users' interests and capturing textual side information, inabilities in generalizing to various recommendation scenarios and …

abstract applications arxiv become commerce cs.ai cs.cl cs.ir daily e-commerce interactions language language models large language large language models life llms modeling networks neural networks personalized recommender systems recsys suggestions systems type web