Introduces Silence Routing framework for collective intelligence in taste domains using music preferences. Specifies when contributors should speak, report, or stay silent. Simulation shows accuracy gains over baselines only when silence is allowed.
Key Points
- 1.Uses Own and Estimated preferences dataset
- 2.Enables second-order signals via silence
- 3.Improves prediction in broad parameter space
Impact Analysis
Enhances wisdom-of-crowds for subjective tastes like music. Enables principled aggregation beyond simple averaging. Applicable to preference-based collective decisions.
Technical Details
Simulation-based aggregation on music dataset. Conditional routing on items. Silence preferable in certain parameter regions.