lightbulbPractical problemConversational and Dialogue-Based Recommendation
Users struggle to obtain high-quality personalized recommendations through natural conversation.CUI '22Unifying Recommender Systems and Conversational User Interfaces
Recommendation, Personalization, and Exploration / Conversational and Dialogue-Based Recommendation
Users struggle to obtain high-quality personalized recommendations through natural conversation.
Similar questions
lightbulbPractical problemConversational and Dialogue-Based Recommendation
Traditional recommender systems limit users' ability to express needs and cannot flexibly satisfy complex, vague requirements.lightbulbPractical problemConversational and Dialogue-Based Recommendation
Smart speaker skills are numerous, but users struggle to find useful ones.lightbulbPractical problemConversational and Dialogue-Based Recommendation
Current recommendation systems struggle to dynamically adapt to changing user preferences and support future development goals.CUI '24You Today, Better Tomorrow: Envisioning the Role of Conversation in Recommender Systems of the Future
lightbulbPractical problemConversational and Dialogue-Based Recommendation
Users often feel frustrated due to interruptions or misunderstandings when conversing with recommender systems.lightbulbPractical problemConversational and Dialogue-Based Recommendation
News assistants lack interactivity and personalization, resulting in poor user experience.lightbulbPractical problemConversational and Dialogue-Based Recommendation
User preferences expressed during shopping are typically conveyed through positive or negative language, which existing systems cannot fully leverage.CUI '22Multimodal Conversational Fashion Recommendation with Positive and Negative Natural-Language Feedback
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