評估模擬資料庫
評估模擬資料庫可呈現歷來資料,就像由 Attribution Reporting API 所收集的資料一樣,協助您瞭解 Privacy Sandbox 整合的影響。這可讓您比較歷來資料與評估模擬資料庫的結果,據以瞭解報表準確率的可能變化。您也可以使用評估模擬資料庫,測試不同的匯總鍵結構和批次處理策略,並針對評估模擬資料庫報表訓練最佳化模型,用來比較預測與根據目前資料所建模型的效能。
詳情請參閱「評估模擬資料庫設計提案」。
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上次更新時間:2024-09-03 (世界標準時間)。
[null,null,["上次更新時間:2024-09-03 (世界標準時間)。"],[[["The Measurement Simulation Library uses historical data to demonstrate how the Privacy Sandbox's Attribution Reporting API might impact your conversion tracking."],["By comparing current data with simulated reports, you can assess potential changes in reporting accuracy."],["The library enables experimentation with different aggregation keys and batching strategies to optimize campaign performance."],["You can train optimization models using simulated data for comparing projected performance against existing models based on current data."]]],["The Measurement Simulation Library allows users to analyze the impact of Privacy Sandbox integration. It simulates Attribution Reporting API data using historical information, enabling comparison of past conversions with simulated results. This allows for assessment of reporting accuracy changes. Users can also test varied aggregation key structures and batching strategies. Finally, the library can be used to train optimization models, allowing performance comparison between models using simulated data and those relying on existing data.\n"]]