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Collaborative Filtering

Collaborative Filtering is a solution for making personalized recommendations based on user behavior patterns and preferences.

Key Capabilities Used

Features

  • User similarity analysis
  • Item-based filtering
  • Matrix factorization
  • Preference learning
  • Cold start handling

Use Cases

  • Product recommendations
  • Content suggestions
  • Movie recommendations
  • Music discovery
  • Social connections

Technologies

  • Matrix factorization
  • Neural collaborative filtering
  • Neighborhood methods
  • Implicit feedback models
  • Hybrid recommenders

Tools