2 papers
cs.CV2025
Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation
Se-eun Yoon, Hyunsik Jeon, Julian McAuley
We introduce a multimodal dataset where users express preferences through images. These images encompass a broad spectrum of visual expressions ranging from landscapes to artistic…
cs.AI2025
OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation
Se-eun Yoon, Xiaokai Wei, Yexi Jiang +5
In this paper, we present a systematic effort to design, evaluate, and implement a realistic conversational recommender system (CRS). The objective of our system is to allow users…