Transferability of Preference Models across Segments and Geographic Areas
研究了偏好模型在不同细分市场和地理区域间的可转移性，发现基于个体背景特征可预测新市场的偏好，且模型在细分市场间的转移效果优于地理区域间。
Differences in preference models between segments often are influenced by the background characteristics of individuals. Based on the relationship between preference weights and background characteristics, predictions of preference are made for new segments and geographic areas. Preference models are found to be transferable in some cases, with better predictions for new segments than for geographic areas. Generalizability of results, limitations of research, and conditions for finding transferable models are discussed.