A New Ranking Framework for Better Notification Quality on Instagram

Introduced a diversity-aware notification ranking framework for Instagram that sits on top of existing ML engagement models. This framework applies multiplicative penalties to candidate notification scores based on similarity to recently sent notifications across dimensions like content, author, and product type. The mathematical formulation uses a demotion factor D(c) = product(1 - w_i * p_i(c)), where p_i(c) is a similarity signal and w_i is a demotion strength weight. Future plans include dynamic demotion strategies and LLM integration for semantic similarity.