01이 칸의 논문
- Retargeted vs. Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?
- Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations
- Longitudinal Impact of Preference Biases on Recommender Systems’ Performance
- Welfare Properties of Profit Maximizing Recommender Systems: Theory and Results from a Randomized Experiment
- Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework
- Taming Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms
02같은 주제, 다른 방법
- A User Purchase Motivation-Aware Product Recommender System
- Analyzing Consumer Footprints on E-Commerce Platforms: A Multichannel Sequential Search Model with Reference Price
- Improving Competitiveness: A Freelancer-Centric Approach for Recommending Reskilling Strategies
- Do Reductions in Search Costs for Partial Information on Online Platforms Lead to Better Consumer Decisions? Evidence of Cognitive Miser Behavior from a Natural Experiment
- Ephemeral State-Dependent Recommendation for Digital Content
- Mitigating Exposure Bias for Recommendations in Physical Spaces: An Unbiased Pairwise Ranking Approach Using Spatial Movement
- Beyond Complements and Substitutes: A Graph Neural Network Approach for Collaborative Retail Sales Forecasting
- Deep Chain-of-Preference: A Novel Deep Learning Method for Mixed-Grained Recommendation
- Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems
- How Recommendation Affects Customer Search: A Field Experiment