Recommender systems in the era of large language models (llms)
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an important component of our daily life, providing personalized suggestions …
have become an important component of our daily life, providing personalized suggestions …
Recommender systems in the era of large language models (llms)
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an indispensable and important component in our daily lives, providing …
have become an indispensable and important component in our daily lives, providing …
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 …
A survey on trustworthy recommender systems
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …
deployed in almost every corner of the web and facilitate the human decision-making …
Idgenrec: Llm-recsys alignment with textual id learning
LLM-based Generative recommendation has attracted significant attention. However, in
contrast to standard NLP tasks that inherently operate on human vocabulary, current …
contrast to standard NLP tasks that inherently operate on human vocabulary, current …
Securing large language models: Addressing bias, misinformation, and prompt attacks
Large Language Models (LLMs) demonstrate impressive capabilities across various fields,
yet their increasing use raises critical security concerns. This article reviews recent literature …
yet their increasing use raises critical security concerns. This article reviews recent literature …
How can recommender systems benefit from large language models: A survey
With the rapid development of online services, recommender systems (RS) have become
increasingly indispensable for mitigating information overload. Despite remarkable …
increasingly indispensable for mitigating information overload. Despite remarkable …
Recranker: Instruction tuning large language model as ranker for top-k recommendation
Large Language Models (LLMs) have demonstrated remarkable capabilities and have been
extensively deployed across various domains, including recommender systems. Prior …
extensively deployed across various domains, including recommender systems. Prior …
Llara: Aligning large language models with sequential recommenders
Sequential recommendation aims to predict the subsequent items matching user preference
based on her/his historical interactions. With the development of Large Language Models …
based on her/his historical interactions. With the development of Large Language Models …
E4srec: An elegant effective efficient extensible solution of large language models for sequential recommendation
The recent advancements in Large Language Models (LLMs) have sparked interest in
harnessing their potential within recommender systems. Since LLMs are designed for …
harnessing their potential within recommender systems. Since LLMs are designed for …