Development of a Recommendation Engine for Life Innovation Technology
Funded by the Ministry of SMEs and Startups (2022.06 ~ 2022.12)
Collaborated with Toobplus to develop an intelligent recommendation engine.
Designed an AI-driven system to identify potential customers likely to visit nearby stores in shaded areas.
Developed personalized customer recommendation strategies to enhance marketing efficiency for individual stores in specific regions.
Implemented a customer recommendation system optimized for cooperative marketing among affiliated stores.
Construction of a Cultural Heritage Relationship Analysis Testbed for Personalized Cultural Heritage Commentary
Funded by the Ministry of Culture, Sports, and Tourism (2023.07 ~ Present)
Partnered with Hanbat National University and the Electronics and Telecommunications Research Institute (ETRI).
Designed a visitor relevance graph based on interests, objectives, and individual characteristics.
Developed a knowledge graph-based recommendation system integrating user relevance graphs with a cultural heritage curation map.
Conducted analysis on cultural heritage connectivity and proposed an expansion framework for newly discovered cultural heritage sites.
Examined visitor–cultural heritage interaction data to improve personalization and engagement in cultural experiences.