Measure Cultural Distance by Analyzing Temporal Patterns of Food and Drink Preferences in YELP

The proposed project examines the food and drink culture in 6 different cities from Northern America and draws neighborhood map which clearly demarcates the boundary based on the temporal patterns of food and drink preferences. Each region in the map would subtly convey to us the cultural preferences which has resulted in this classification.

Julia Hsin-Ping Hsu
Julia Hsin-Ping Hsu
Ph.D. student in Information Technology

My research interests include ML/ AI for social good, computational community data analytics, civic technology and information inequality.