01이 칸의 논문
- Improving Competitiveness: A Freelancer-Centric Approach for Recommending Reskilling Strategies
- The Decoy Effect and Recommendation Systems
- Eye-Tracking-Based Classification of Information Search Behavior Using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments
- The Relative Effect of the Convergence of Product Recommendations from Various Online Sources
- The Right Music at the Right Time: Adaptive Personalized Playlists Based on Sequence Modeling
- Reducing Recommender System Biases: An Investigation of Rating Display Designs
- Attention Adjustment, Renewal, and Equilibrium Seeking in Online Search: An Eye-Tracking Approach
- Designing for Diagnosticity and Serendipity: An Investigation of Social Product-Search Mechanisms
- Effects of Online Recommendations on Consumers’ Willingness to Pay
- A Two-Stage Model of Generating Product Advice: Proposing and Testing the Complementarity Principle
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
- 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
- Probing Digital Footprints and Reaching for Inherent Preferences: A Cause-Disentanglement Approach to Personalized Recommendations