[HTML][HTML] Advances and challenges in conversational recommender systems: A survey
Recommender systems exploit interaction history to estimate user preference, having been
heavily used in a wide range of industry applications. However, static recommendation …
heavily used in a wide range of industry applications. However, static recommendation …
Proactive conversational agents in the post-chatgpt world
ChatGPT and similar large language model (LLM) based conversational agents have
brought shock waves to the research world. Although astonished by their human-like …
brought shock waves to the research world. Although astonished by their human-like …
C²-crs: Coarse-to-fine contrastive learning for conversational recommender system
Conversational recommender systems (CRS) aim to recommend suitable items to users
through natural language conversations. For develo** effective CRSs, a major technical …
through natural language conversations. For develo** effective CRSs, a major technical …