University · Business Informatics · Artificial Intelligence and Machine Learning
Recommender Systems and Personalization in E-Commerce
5 Abschnitte1 Karteikarten-Decks1 Quizze
How enterprises design, deploy, and govern recommender systems to personalize the e-commerce experience — covering core algorithmic approaches, business value creation, and the operational and ethical challenges of large-scale personalization.
Inhaltsübersicht
- Recommender Systems as a Business Informatics Problem
- Core Algorithmic Approaches: Collaborative and Content-Based Filtering
- Personalization in Practice: Architecture and Business Metrics
- Operational Challenges: Cold Start, Filter Bubbles, and Data Quality
- Privacy, Regulation, and Responsible Personalization
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