Telco Data 기반 멀티 도메인 추천 엔진 - 협력적 게임이론 기반 순차 추천모델

Learn about multi-domain sequential recommendation models based on cooperative game theory in this technical conference presentation from SK TECH SUMMIT 2023. Discover how SK Telecom developed an innovative recommendation system that harmoniously integrates data from diverse domains including apps, shopping, location data, and user profiles. Explore the challenges of maintaining model performance when dealing with multi-domain data and understand how sequential customer behavior patterns are incorporated into the recommendation engine. The speaker, Jung Park from SK Telecom, shares her journey as a data scientist and explains how their recommendation system differs from conventional models, its advantages, and its current implementation across SK Telecom's recommendation services. Gain insights into the practical application of data science in telecommunications and how collaborative game theory principles are applied to create more effective recommendation systems.