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Recommendation, Personalization, and Exploration / Conversational and Dialogue-Based Recommendation

How do pretrained embeddings (e.g., BERT) and one-hot encoding perform in handling different types of feedback combinations?

helpResearch questionConversational and Dialogue-Based Recommendation

How do pretrained embeddings (e.g., BERT) and one-hot encoding perform in handling different types of feedback combinations?

CUI '22Multimodal Conversational Fashion Recommendation with Positive and Negative Natural-Language Feedback

Similar questions

helpResearch questionConversational and Dialogue-Based Recommendation

Compared with traditional recommender systems, can LLM-based conversational recommendation systems better satisfy users' vague needs?

CHI '25User Experience of LLM-based Recommendation Systems: A Case of Music Recommendation

helpResearch questionConversational and Dialogue-Based Recommendation

How can users customize personalized recommendation logic through LLM-based recommendation systems?

CHI '25User Experience of LLM-based Recommendation Systems: A Case of Music Recommendation

helpResearch questionConversational and Dialogue-Based Recommendation

What unique experiences can such systems provide for exploring new preferences and self-reflection?

CHI '25User Experience of LLM-based Recommendation Systems: A Case of Music Recommendation

helpResearch questionConversational and Dialogue-Based Recommendation

What intuitive categorization attributes do users use when classifying intelligent voice assistant skills?

IUI '24Toward Faceted Skill Recommendation in Intelligent Personal Assistants

helpResearch questionConversational and Dialogue-Based Recommendation

How can users' categorization intuitions be combined to design multidimensional categorization models supporting skill recommendation?

IUI '24Toward Faceted Skill Recommendation in Intelligent Personal Assistants

helpResearch questionConversational and Dialogue-Based Recommendation

Can dialogue-based recommendation interaction models improve skill discoverability and UX?

IUI '24Toward Faceted Skill Recommendation in Intelligent Personal Assistants

Related papers

User Experience of LLM-based Recommendation Systems: A Case of Music Recommendation

Sojeong Yun, Youn-kyung Lim

Toward Faceted Skill Recommendation in Intelligent Personal Assistants

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Identifying Breakdowns in Conversational Recommender Systems using User Simulation

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Conversations with the News: Co-speculation into Conversational Interactions with News Content

Oda Elise Nordberg, Frode Guribye

Critiquing for Music Exploration in Conversational Recommender Systems

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