Recommendation Systems

1Index 2Intro RecSys 3Types of RecSys 4User Item Matrix 5Similarity Metrics 6Rating Systems 7Data Collection 8Cold Start Problem 9Evaluation Metrics 10Content Based Intro 11Feature Extraction 12TF IDF 13Vector Space Model 14Item Profiling 15User Profiling 16Content Similarity 17Content Based Limitations 18Collaborative Filtering Intro 19User Based CF 20Item Based CF 21Memory Based Methods 22Model Based Methods 23Matrix Factorization 24SVD RecSys 25ALS Algorithm 26Neighborhood Methods 27CF Scalability 28DL RecSys Intro 29Neural CF 30AutoRec 31Wide Deep 32DeepFM 33Sequence RecSys 34Attention RecSys 35Transformer RecSys 36GNN RecSys 37RL RecSys 38Hybrid RecSys Intro 39Weighted Hybrid 40Switching Hybrid 41Cascade Hybrid 42Feature Augmentation 43Meta Learning RecSys 44Multi Task Learning 45Knowledge Graph RecSys 46LLM RecSys Intro 47Prompt Based RecSys 48LLM as Ranker 49Conversational RecSys 50Generative RecSys 51LLM Embeddings RecSys 52RAG for RecSys 53LLM RecSys Evaluation 54RecSys System Architecture 55Feature Engineering Production 56Real Time Recommendation Serving 57Feature Store RecSys 58Real Time RecSys 59AB Testing RecSys 60Caching Serving 61Monitoring RecSys 62Ecommerce RecSys 63Video RecSys 64Music RecSys 65News RecSys 66Social RecSys 67Job RecSys 68Food RecSys 69Travel RecSys 70Fairness Bias RecSys 71RecSys Career