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Content-based Filtering

Content-based Filtering is a solution for making personalized recommendations by analyzing item features and user preferences.

Key Capabilities Used

Features

  • Item feature analysis
  • User profile modeling
  • Similarity matching
  • Preference learning
  • Explainable recommendations

Use Cases

  • Product recommendations
  • Content discovery
  • Media suggestions
  • Document retrieval
  • News personalization

Technologies

  • Vector embeddings
  • Feature extraction
  • Cosine similarity
  • TF-IDF
  • Neural encoders

Tools