Unverified70% confidenceConceptExact time
The K-factor formula is: K = number of invitations sent per user × invitation conversion rate; when K > 1, the product enters a self-growth state.
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70%
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Long-term
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9/11/2026
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Related Claims
UnverifiedThe scheduling-averaged divergence first computes the KL divergence under each schedule and then takes the expectation, i.e., E_U D_KL(p||q_U).68% similarUnverifiedThe quantitative core of viral spread is the K-factor (viral coefficient); when K > 1, a product achieves self-sustaining growth, and K-factor = number of invitations sent × conversion rate.68% similarUnverifiedWhen using a generative model to evaluate K candidate options, the total cost grows linearly with the number of options, whereas a single forward pass can compress the inference cost to a single computation66% similarUnverifiedKL divergence is used to compare the difference in output probability distributions between the fine-tuned model and the original model given the same input; a larger value indicates greater deviation, and a KLD of 0.0244 means the fine-tuning has hardly changed the model's overall behavioral distribution.64% similarUnverifiedK-means对初始簇中心敏感，K-means++通过概率化初始化缓解这一问题62% similar
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