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Beyond Classification and Ranking: Constrained Optimization of the ROI Lian Yan & Patrick Baldasare KDD’06
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object]
Return on Investment (ROI) ,[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object]
Real-world evaluation results ,[object Object],[object Object]
Fixed budget ,[object Object],[object Object]
Example 2 ,[object Object],[object Object],[object Object],[object Object]
Difference of Maximation ,[object Object],[object Object],[object Object],[object Object]
Budget constraint ,[object Object],[object Object],[object Object],[object Object]
Find Observe Function ,[object Object],[object Object],[object Object],[object Object],[object Object]
Observe Function ,[object Object],[object Object]
Cost-sensitive learning ,[object Object],[object Object]
Cost-sensitive learning Cont. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Regression & Ranking Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Maximization Σ xi y(ei)∈Top r%
Constrained Optimization ,[object Object],[object Object],[object Object]
Differentiable Approximation ,[object Object],[object Object]
More Problem ,[object Object],[object Object]
Approximate to Related Ratio ,[object Object]
Convert to Unconstrained Optimization ,[object Object],[object Object],[object Object]
Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object]
Comparing Methods ,[object Object],[object Object],[object Object],[object Object]
Classification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Weighted Classification & Regression ,[object Object],[object Object],[object Object],[object Object],[object Object]
Ranking ,[object Object],[object Object],[object Object],[object Object]
Predicting Collectibility of Accounts Receivable ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Goal ,[object Object]
Problem ,[object Object],[object Object],[object Object],[object Object]
Detail ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Pull Rate ,[object Object]
Avg. Collection Amount ,[object Object]
Result ,[object Object],[object Object],[object Object]
Conclusion ,[object Object]

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Beyond Classification and Ranking: Constrained Optimization of the ROI

  • 1. Beyond Classification and Ranking: Constrained Optimization of the ROI Lian Yan & Patrick Baldasare KDD’06
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