KOREASCHOLAR

HOW DO BROADCASTERS BEHAVE ON LIVE STREAMING PLATFORMS? A MACHINE LEARNING APPROACH

Honglong Wang, Guoxin Li, Xiaodong Xie, Shaohui Wu

Global Marketing Conference 2023 Global Marketing Conference at Seoul (2023.07) pp.837-838

INTERPRETABLE MACHINE LEARNING FOR CHOICE BEHAVIOR MODELING

Misuk Lee

Global Marketing Conference 2023 Global Marketing Conference at Seoul (2023.07) p.823

ENHANCING THE ACCEPTABILITY OF VR PRODUCTS THROUGH MACHINE LEARNING: AMAZON'S HELPFUL REVIEW ACCEPTABILITY PREDICTION MODEL

Sunnyoung Lee, Jongchan Lee, Sangman Han, Taewan Kim

Global Marketing Conference 2023 Global Marketing Conference at Seoul (2023.07) pp.404-406

TEXT AND IMAGE-BASED RECOMMENDATIONS: PERSONALIZATION OF MULTIMEDIA AND ADVERTISEMENTS USING MACHINE LEARNING

Jin-A Choi, Kiho Lim

Global Marketing Conference 2023 Global Marketing Conference at Seoul (2023.07) p.232

MEASURING ADVERTISING CREATIVITY: A TRANSFER LEARNING APPROACH

Hyunsang Son, Young Eun Park

Global Marketing Conference 2023 Global Marketing Conference at Seoul (2023.07) p.861

MACHINE LEARNING IN MARKETING: WHICH IMPACT HAS MACHINE LEARNING ON FIRMS’ AND CONSUMERS’ INTERACTION AND BEHAVIOR?

Florian Stahl, Maximilian Beichert, Sabrina Haas

Global Marketing Conference 2018 Global Marketing Conference at Tokyo (2018.07) p.1451

INVESTIGATION OF MICRO-BLOGGING MARKETING STRATEGY OF FASHION BRAND: VIA BIG DATA AND MACHINE LEARNING METHODOLOGY

Ruirui Zhang, Shan Xue, Leslie Davis Burns

Global Marketing Conference 2014 Global Marketing Conference at Singapore (2014.07) pp.418-429