01이 칸의 논문
- Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence From Econometric Models And Machine-Learning Instruments
- Are We There Yet? Analyzing Progress in the Conversion Funnel Using the Diversity of Searched Products
- Measuring Product Type and Purchase Uncertainty with Online Product Ratings: A Theoretical Model and Empirical Application
- Is There a Genetic Basis for Information Search Propensity? A Genotyping Experiment
- The Demand Effects of Product Recommendation Networks: An Empirical Analysis of Network Diversity and Stability
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