추천 시스템: 조회, 채점, 순위 재지정 (Retrieval, Scoring, Re-ranking)
Retrieval, Scoring, Re-ranking
최근 포스트
추천 시스템: 심층 신경망 (Deep Neural Network)
Softmax Model, Softmax Training
추천 시스템: 협업 필터링 (Collaborative filtering)
Basics, Matrix Factorization, Advantages & Disadvantages
추천 시스템: 컨텐츠 기반 필터링 (Content-based filtering)
Basics, Advantages & Disadvantages
추천 시스템: 후보 생성 (Candidate Generation)
Overview
추천 시스템이란? (What is Recommendation System?)
What and Why?, Terminology, Overview
공정성 (Fairness)
Types of Bias, Identifying Bias, Evaluating for Bias
데이터 종속성 (Data Dependency)
Raliability, Versioning, Necessity, Correlations, Feedback Loops
정적 vs. 동적 (Static vs. Dynamic)
Static vs. Dynamic Training and Inference
임베딩 (Embedding)
Collaborative Filtering, Input Data, Translating, Obtaining
다중 클래스 신경망 (Multi-Class Neural Networks)
One vs. All, Softmax
신경망 학습 (Training Neural Nets)
Best Practices
신경망 (Neural Networks)
Structure : Hidden Layers, Activation Functions
정규화 : 희소성 (Regularization for Sparsity)
L1 Regularization
분류 (Classification)
Threshold, True-False, Positive-Negative, Accuracy, Precision, Recall, ROC, AUC, Prediction Bias