Content-based Filtering

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

Key Capabilities Used

• Recommendation
• Similarity Search

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

Related Solutions

• Collaborative Filtering
• Neural Search

Tools

• Recommendation Engines
• Hybrid Recommendation Systems
• Content-based Filtering Tools