Trends·온라인시장
추천 시스템과 소비자 선택
OpenAlex: Consumer Market Behavior and Pricing, Recommender Systems and Techniques, Digital Marketing and Social Media
70
논문
14
최근 3년
×1.1
비중 변화
01허브 논문
- Online Demand Under Limited Consumer Search
- Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content
- Too Much Information? Information Provision and Search Costs
- Zooming In on Choice: How Do Consumers Search for Cameras Online?
- Optimizing Click-Through in Online Rankings with Endogenous Search Refinement
- A Bounded Rationality Model of Information Search and Choice in Preference Measurement
- Model-Based Purchase Predictions for Large Assortments
- Crumbs of the Cookie: User Profiling in Customer-Base Analysis and Behavioral Targeting
02최근 주목 논문
2024–2026
- Smart Green Nudging: Reducing Product Returns Through Digital Footprints and Causal Machine Learning
- Recommending for a Multi-Sided Marketplace: A Multi-Objective Hierarchical Approach
- Multiattribute Search: Empirical Evidence and Information Design
- Multiobjective Personalization of Marketing Interventions
- Frontiers: Recommending What to Search: Sales Volume and Consumption Diversity Effects of a Query Recommender System
- Personalization, Consumer Search, and Algorithmic Pricing
03활발한 연구자
최근 6년 2편 이상
04방법 구성
05저널 구성
217편
MS53ISR40MKSCI38JMR22MISQ21JMIS12POM11JM10MSOM10