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Learn about an innovative personalized POI (Point of Interest) recommendation model in this 23-minute conference talk from SK TECH SUMMIT 2022. Discover how T-map utilizes actual driving logs to understand individual user preferences and actively suggest relevant destinations. Explore how the model analyzes weekday commuting patterns between home and work, while also providing personalized weekend travel recommendations. Gain insights into how context-aware recommendations are implemented to deliver situation-specific suggestions. Join T-map Mobility engineer Ki-chang Choi as he shares his experience in developing this sophisticated recommendation system that balances user convenience with practical navigation needs.
