Agentcf: Collaborative learning with autonomous language agents for recommender systems
Recently, there has been an emergence of employing LLM-powered agents as believable
human proxies, based on their remarkable decision-making capability. However, existing …
human proxies, based on their remarkable decision-making capability. However, existing …
Recommender ai agent: Integrating large language models for interactive recommendations
Recommender models excel at providing domain-specific item recommendations by
leveraging extensive user behavior data. Despite their ability to act as lightweight domain …
leveraging extensive user behavior data. Despite their ability to act as lightweight domain …
On generative agents in recommendation
Recommender systems are the cornerstone of today's information dissemination, yet a
disconnect between offline metrics and online performance greatly hinders their …
disconnect between offline metrics and online performance greatly hinders their …
Lending interaction wings to recommender systems with conversational agents
An intelligent conversational agent (aka, chat-bot) could embrace conversational
technologies to obtain user preferences online, to overcome inherent limitations of …
technologies to obtain user preferences online, to overcome inherent limitations of …
Large language models are competitive near cold-start recommenders for language-and item-based preferences
Traditional recommender systems leverage users' item preference history to recommend
novel content that users may like. However, modern dialog interfaces that allow users to …
novel content that users may like. However, modern dialog interfaces that allow users to …
Deep reinforcement learning for list-wise recommendations
Recommender systems play a crucial role in mitigating the problem of information overload
by suggesting users' personalized items or services. The vast majority of traditional …
by suggesting users' personalized items or services. The vast majority of traditional …
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 …
Chat-rec: Towards interactive and explainable llms-augmented recommender system
Large language models (LLMs) have demonstrated their significant potential to be applied
for addressing various application tasks. However, traditional recommender systems …
for addressing various application tasks. However, traditional recommender systems …
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 …
Recommendation as instruction following: A large language model empowered recommendation approach
In the past decades, recommender systems have attracted much attention in both research
and industry communities, and a large number of studies have been devoted to developing …
and industry communities, and a large number of studies have been devoted to developing …