Recommender Systems
(ระบบแนะนำ)
Definition
Recommender Systems (ระบบแนะนำ) Hard Skill
Recommender Systems are specialized algorithms designed to suggest relevant items or information to users based on their preferences, behavior, or interactions within a system.
Expertise Level
Level 1
Basic
1. Understands the fundamental concepts of recommender systems.
2. Familiar with common types like content-based and collaborative filtering.
3. Can implement simple recommendation algorithms using existing libraries.
Level 2
Intermediate
1. Can design and develop recommender systems using hybrid approaches.
2. Able to preprocess and analyze user data for recommendation quality improvement.
3. Understands evaluation metrics such as precision, recall, and RMSE.
Level 3
Advanced
1. Develops scalable and optimized recommender systems for large-scale datasets.
2. Integrates advanced machine learning and deep learning techniques.
3. Can design personalized recommendation strategies addressing complex user behavior patterns.
