01이 칸의 논문
- A User Purchase Motivation-Aware Product Recommender System
- Improving Competitiveness: A Freelancer-Centric Approach for Recommending Reskilling Strategies
- 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
- Probing Digital Footprints and Reaching for Inherent Preferences: A Cause-Disentanglement Approach to Personalized Recommendations
- Dynamic Bayesian Network–Based Product Recommendation Considering Consumers’ Multistage Shopping Journeys: A Marketing Funnel Perspective
- When Variety Seeking Meets Unexpectedness: Incorporating Variety-Seeking Behaviors into Design of Unexpected Recommender Systems
- Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence From Econometric Models And Machine-Learning Instruments
- Eye-Tracking-Based Classification of Information Search Behavior Using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments
- A Novel Recommendation Model for Online-to-Offline Service Based on the Customer Network and Service Location
- Mobile App Recommendation: An Involvement-Enhanced Approach
- The Right Music at the Right Time: Adaptive Personalized Playlists Based on Sequence Modeling
02같은 주제, 다른 방법
- 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
- How Recommendation Affects Customer Search: A Field Experiment
- The Decoy Effect and Recommendation Systems
- Retargeted vs. Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?
- Product Recommendation and Consumer Search
- Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations
- Longitudinal Impact of Preference Biases on Recommender Systems’ Performance
- On the Differences Between View-Based and Purchase-Based Recommender Systems