IceBreaker applies resonance-aware interest distillation and interaction-oriented starter generation with preference alignment to create cold-start conversation openers, yielding +0.184% active days and +9.425% CTR gains in production A/B tests.
Proceedings of the SIGCHI conference on Human Factors in Computing Systems , pages=
2 Pith papers cite this work. Polarity classification is still indexing.
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Introduces the Expert Cognition Dashboard framework that organizes learner data into multi-level cognitive structures for AI Twin-driven personalized education.
citing papers explorer
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IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters
IceBreaker applies resonance-aware interest distillation and interaction-oriented starter generation with preference alignment to create cold-start conversation openers, yielding +0.184% active days and +9.425% CTR gains in production A/B tests.
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Expert Cognition Dashboard: From Learning Analytics to Cognition Intelligence in AI-Driven Education
Introduces the Expert Cognition Dashboard framework that organizes learner data into multi-level cognitive structures for AI Twin-driven personalized education.