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Friend Recommendations

ContactsManager SDK provides sophisticated recommendation algorithms that help users discover connections within your application while maintaining complete privacy of their contact data.

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How It Works

The recommendation engine in ContactsManager uses a privacy-focused approach:
  1. Local Processing: Recommendations are generated on the device without sharing contact lists
  2. Privacy-Preserving Matching: Users are matched through secure cryptographic techniques
  3. Contextual Suggestions: Recommendations are based on multiple signals, not just contact presence
  4. User Control: Users always have the final say on which recommendations to act upon

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Key Recommendation Features

  • People You May Know: Discover users within your application who might be real-world connections
  • Users of Your App: Identify which contacts are already using your application
  • Shared Connections: Find users who share mutual connections
  • Smart Prioritization: Recommendations are ranked based on relevance and interaction patterns

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Privacy Protection

Friend recommendations in ContactsManager are fundamentally different from traditional social networks:
  • No contact data is stored with your servers or ContactsManager’s servers
  • Cryptographically secure matching protects users’ privacy
  • All sensitive processing happens on the user’s device
  • Military-grade encryption secures any data used in the matching process
  • The user remains in full control of their data at all times

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Applications

  • Frictionless onboarding with friend discovery
  • Building social graphs without requiring contact uploads
  • Increasing user engagement through meaningful connections
  • Growing your app’s network through trusted referrals
For more details on implementing recommendation features in your application, visit contactsmanager.io.