To access the collective intelligence in the Connoted app, the user needs to start creating their notes. It's during the process of taking notes that the recommendation system begins to understand what topics interest you. The more notes you create on a given topic, the better the system understands your preferences and needs, and the more relevant recommendations it can make. . Thus, the “collective intelligence” function is activated and begins to be beneficial.
How a recommendation system works
1. Analysing your notes:
- Individual notes: Even if you create private notes, the system analyses their content and topics.
- Public notes: If you choose to make your notes public, they become part of a shared database, available for analysis and recommendation to other users.
2. Recommendations based on your interests:
- Topics and tags: The recommendation system uses the topics and tags of your notes to find relevant content among other users.
- Improvement over time: The bigger the number of notes you create on a particular topic, the more accurately the system understands your interests and preferences, and the better it can recommend useful content.
Access to collective intelligence
- You don't have to make your notes public: It's important to note that you don't have to share all of your notes. Even if you only create private notes, the system will still recommend relevant notes from other users' collections.
- Group Recommendations: Notes can also be recommended within a specific group. This way, you can receive valuable recommendations without exposing your notes to a wider audience.
The importance of sharing knowledge
- Sharing Thoughts: While you don't have to share all of your notes, it's important to remember that collective intelligence works most effectively when users not only receive but also share their thoughts and ideas.
- Mutually beneficial collaboration: By sharing your notes, you help other users and at the same time gain access to their knowledge and ideas. This creates an active community where each participant contributes to the overall knowledge base.