Skip to main content

🏠 > Recommendations System

Recommendations System

How Content Recommendations Work​

Megacubo analyzes:

  • Channels you've watched
  • Channels you've favorited
  • Time spent per channel
  • Viewing patterns and preferences

It then suggests similar content in the Recommended for You section.

Continue Watching Feature​

Access your viewing history in Tools > Continue Watching:

  • Recent channels: Shows recently watched content
  • Improved recommendations: History is used to enhance content suggestions
  • Quick access: Resume watching from where you left off
  • Viewing patterns: Helps the algorithm learn your preferences

Customizing Your Preferences​

  1. Go to Options > Behavior to adjust recommendation settings.
  2. Adjust categories like sports, news, movies, etc.
  3. Your recommendations will update accordingly.

Clearing Watch History​

To reset recommendations:

  1. Go to Options > Advanced > Developer options.
  2. Clear cache and reset settings.
  3. Your recommendations will be recalculated next time you watch a channel.

Understanding the Algorithm​

The recommendation system uses several factors:

Viewing Patterns​

  • Recently watched channels
  • Most viewed categories
  • Watch duration
  • Time of day preferences

User Interactions​

  • Favorited channels
  • Rated content
  • Skipped channels
  • Continue watching behavior

Content Similarity​

  • Genre matching
  • Language preferences
  • Geographic relevance
  • Channel categories

Manual Preferences​

  • Favorite channels to improve recommendations
  • Rate content to help the algorithm learn
  • Skip unwanted content to avoid similar suggestions
  • Use Continue Watching to enhance learning

Privacy and Data​

  • Local processing: Recommendations are calculated on your device
  • No data sharing: Your viewing history stays private
  • Opt-out option: You can disable recommendations entirely
  • Data retention: History is stored locally and can be cleared anytime
  • No online tracking: No personal information is sent to servers

Community Mode Integration​

Note: For detailed information about Community Mode, see Community Mode.

List Selection​

Community lists are chosen based on:

  • Content relevance to your viewing preferences
  • Recommendation algorithm matching
  • List quality and reliability
  • User feedback and ratings

Advanced Features​

Smart Filtering​

  • Content filtering based on parental controls
  • Quality filtering for preferred stream quality
  • Language filtering for preferred languages
  • Regional filtering for local content

Learning Improvements​

  • Continuous learning from your viewing habits
  • Adaptive suggestions that improve over time
  • Seasonal adjustments for time-based content
  • Trending integration for popular content

Troubleshooting Recommendations​

Common Issues​

  • No recommendations: Check if you have viewing history
  • Poor suggestions: Clear history and start fresh
  • Inappropriate content: Adjust parental controls
  • Language issues: Check language settings

Solutions​

  1. Watch more content to build history
  2. Favorite preferred channels to improve suggestions
  3. Clear and reset learning data if needed
  4. Adjust preferences in recommendation settings

The recommendation system improves over time as you use the app. The more you interact with content, the better your personalized suggestions will become.

Next: Setup Wizard Previous: Performance & Optimization