Search & Recommendation

• Stages in Search & Recommendation Systems
  • Item Embedding Pretraining
  • User Embedding for Retrieval
  • Ranking
• Problems in Search & RecSys
  • Scenario Classification
  • Modeling Approaches & Trade-offs
    • 1. Homepage Recommendation
    • 2. Next Item Recommendation
    • 3. Search (Query-Based Recommendation)
    • 4. Suggested Playlist Curation
• Data and Label Collection
  • Collaborative Filtering (CF)
    • User Engagement-Based Labels
    • Social & Community-Based Signals
    • Negative Feedback & Implicit Dislikes
  • Content-Based Filtering (CBF)
    • Session-Based & Short-Term Context Labels
    • Self-Supervised Paradigm
  • Knowledge Graphs for Hybrid Labeling
• Multi-Task Learning
• Domain Knowledge
  • Industry Practice
  • Design Consideration
  • Search
  • Search Advertising
    • Relevance vs. Revenue Trade-Off
    • Click Spam & Ad Fraud
    • Ad Auction Manipulation & Bid Shading
    • Ad Fatigue & Banner Blindness
    • Query Intent Mismatch
    • Landing Page Experience & Conversion Rate Optimization
    • Multi-Touch Attribution & Ad Budget Allocation
    • Fairness & Ad Bias Issues
  • Music
    • Playlist Generation & Curation in Music Recommendation Systems
    • Common Problems
  • Social Media
  • Video
  • E-Commerce
• Embeddings
  • Modeling Approaches
    • 1. Feedback-Based Latent Factor Models (Collaborative Filtering)
    • 2. Unsupervised/Feedback-Free Latent Models (Autoencoders, Self-Supervised Learning)
    • 3. CBOW-Style Models (Item2Vec)
    • 4. Sequence-Based Models (RNNs, Transformers)
    • 5. Graph Neural Network (GNN)-Based Models
    • 6. Hybrid and Ensemble Methods
    • 7. Utilizing Domain-Specific Content Understanding
  • Summary
  • Table
  • Real World Applications
• Scale
  • Typical Scale for ML Methods
  • Practical Methods
• Issues in Search & Recommendation Systems
  • General Issues
    • Cold-Start Problem (Users & Items)
    • Popularity Bias & Feedback Loops
    • Diversity vs. Personalization Trade-Off
    • Short-Term Engagement vs. Long-Term User Retention
    • Real-Time Personalization & Latency Trade-Offs
  • Domain-Specific
    • Search
    • E-Commerce
    • Video & Music Streaming
• Resources
  • Survey
  • Metrics & QA
  • Videos
  • Course, Books & Papers
    • CTR Prediction Papers
    • Embeddings Papers
    • Modeling Methods Papers
    • More Papers
• Notes on Search & Recommendation
  • Overview
    • Metrics
    • Issues
    • Stages
    • Patterns
  • Stages
    • Retrieval
    • Combining & Filtering
    • Re-Ranking
  • Patterns
    • Query-Item Recommendation
    • Item-Item Recommendation
    • User-Item Recommendation
    • Session-Based Recommendation
    • User-User Recommendation
  • Deep Dives
    • Personalisation
    • Diversity
    • Distribution Shift