helpResearch questionConversational and Dialogue-Based Recommendation
How can conversational recommendation systems support users in exploring diverse music content?Recommendation, Personalization, and Exploration / Conversational and Dialogue-Based Recommendation
How can conversational recommendation systems support users in exploring diverse music content?
Similar questions
helpResearch questionConversational and Dialogue-Based Recommendation
Compared with traditional recommender systems, can LLM-based conversational recommendation systems better satisfy users' vague needs?helpResearch questionConversational and Dialogue-Based Recommendation
How can users customize personalized recommendation logic through LLM-based recommendation systems?helpResearch questionConversational and Dialogue-Based Recommendation
What unique experiences can such systems provide for exploring new preferences and self-reflection?helpResearch questionConversational and Dialogue-Based Recommendation
What intuitive categorization attributes do users use when classifying intelligent voice assistant skills?helpResearch questionConversational and Dialogue-Based Recommendation
How can users' categorization intuitions be combined to design multidimensional categorization models supporting skill recommendation?helpResearch questionConversational and Dialogue-Based Recommendation
Can dialogue-based recommendation interaction models improve skill discoverability and UX?Related papers
CHI 2025
User Experience of LLM-based Recommendation Systems: A Case of Music Recommendation
Sojeong Yun, Youn-kyung Lim
IUI 2024
Toward Faceted Skill Recommendation in Intelligent Personal Assistants
Manveer Kalirai, Alex C Williams, Anastasia Kuzminykh
CUI 2024
Identifying Breakdowns in Conversational Recommender Systems using User Simulation
Nolwenn Bernard, Krisztian Balog
CUI 2023
Conversations with the News: Co-speculation into Conversational Interactions with News Content
Oda Elise Nordberg, Frode Guribye
IUI 2021
Critiquing for Music Exploration in Conversational Recommender Systems
Wanling Cai, Yucheng Jin, Li Chen