01이 칸의 논문
- EXPRESS: Preference Filtering: When Customers Share Narrow Preferences with Algorithms
- EXPRESS: When Consumers Prefer Point Versus Range Estimates of Product Performance
- EXPRESS: Going Smaller with Precise Numbers: How Numerical Precision Orients Attention and Shifts Attribute Weighting in Consumer Judgments
- You Should Try These Together: Combinatory Recommendations Signal Expertise and Improve Product Attitudes
- Serendipity: Chance Encounters in the Marketplace Enhance Consumer Satisfaction
- Choosing the Light Meal: Real-Time Aggregation of Calorie Information Reduces Meal Calories
- Construal Matching in Online Search: Applying Text Analysis to Illuminate the Consumer Decision Journey
- The Importance of Price Beliefs in Consumer Search
- Locational Choices: Modeling Consumer Preferences for Proximity to Others in Reserved Seating Venues
- Making Recommendations More Effective Through Framings: Impacts of User- Versus Item-Based Framings on Recommendation Click-Throughs
02같은 주제, 다른 방법
- EXPRESS: Modeling Dynamic Consumer Preferences from Few-shot Data: A Meta-Learning Approach
- Too Many or Too Few? Information Cues in Recommender Systems and Consequences for Search and Purchase Behavior
- How Does Prepopulating Search Bars with Keywords Affect Online Consumer Behavior? A Field Experiment
- Multiobjective Personalization of Marketing Interventions
- Bayesian Nonparametric Sequential Search
- Discovering Online Shopping Preference Structures in Large and Frequently Changing Store Assortments
- Multimarket Membership Mapping
- Bayesian Consumer Profiling: How to Estimate Consumer Characteristics from Aggregate Data
- Search Duration
- Charting the Path to Purchase Using Topic Models