[HTML][HTML] From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions
Recommender systems are a key technology for many applications, such as e-commerce,
streaming media, and social media. Traditional recommender systems rely on collaborative …
streaming media, and social media. Traditional recommender systems rely on collaborative …
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 …
ChatGPT as a Conversational Recommender System: A User-Centric Analysis
A Manzoor, SC Ziegler, KMP Garcia… - Proceedings of the 32nd …, 2024 - dl.acm.org
With the rapid advances in deep learning, we have witnessed a strongly increased interest
in conversational recommender systems (CRS). Until recently, however, even the latest …
in conversational recommender systems (CRS). Until recently, however, even the latest …
Self-supervised bot play for transcript-free conversational recommendation with rationales
Conversational recommender systems offer a way for users to engage in multi-turn
conversations to find items they enjoy. For users to trust an agent and give effective …
conversations to find items they enjoy. For users to trust an agent and give effective …
Deep conversational recommender systems: challenges and opportunities
Unlike traditional recommender systems, the conversational recommender system (CRS)
models a user's preferences through interactive dialogue conversations. Recently, deep …
models a user's preferences through interactive dialogue conversations. Recently, deep …
Fourth knowledge-aware and conversational recommender systems workshop (kars)
In the last few years, a renewed interest of the research community in conversational
recommender systems (CRSs) has been emerging. This is likely due to the massive …
recommender systems (CRSs) has been emerging. This is likely due to the massive …
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 …
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 …
Leveraging long short-term user preference in conversational recommendation via multi-agent reinforcement learning
Conversational recommender systems (CRS) endow traditional recommender systems with
the capability of dynamically obtaining users' short-term preferences for items and attributes …
the capability of dynamically obtaining users' short-term preferences for items and attributes …
Self-Supervised Bot Play for Transcript-Free Conversational Critiquing with Rationales
Conversational critiquing in recommender systems offers a way for users to engage in multi-
turn conversations to find items they enjoy. For users to trust an agent and give effective …
turn conversations to find items they enjoy. For users to trust an agent and give effective …