Abstract
Systems and methods are described for operating a recommendation platform with creator-incentive preservation under agent-mediated consumption. The platform computes a per-creator Creator Activity Index combining production trends, quality trends, response sensitivity indicative of gaming, return-on-effort trajectory, and churn risk estimated via survival modeling. A platform Ecosystem Diversity Score is computed from active creator count, traffic concentration, topic entropy, and new-creator entry success. An inverse-relationship monitor estimates an effective recommendation-accuracy parameter from traffic distributions and identifies operation relative to a threshold regime in which increasing accuracy corresponds to decreasing creator production volume. A policy controller updates ranking using constrained optimization, including calibrated targeted exploration, dynamic quality floor enforcement derived from the effective accuracy, agent-traffic detection with creator subsidies, and forward simulation to project ecosystem trajectories and collapse horizons.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, "Creator Incentive Preservation System Under Agent-Mediated Consumption in Recommendation Platforms", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10727