DECISION THEORETIC APPROACH TO TARGETED SOLICITATION BY MAXIMIZING EXPECTED PROFIT INCREASES
Patent №
US 8,103,537
Granted
2012-01-24
Filed 2005
Owner
MICROSOFT CORPORATION
Lab
AI components
3
ml · planning · evo
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11257473
A decision theoretic approach to targeted solicitation, by maximizing expected profit increases, is disclosed. A decision theoretic model is used to identify a sub-population of a population to solicit, where the model is constructed to maximize an expected increase in profits. A decision tree in particular can be used as the model. The decision tree has paths from a root node to a number of leaf nodes. The decision tree has a split on a solicitation variable in every path from the root node to each leaf node. The solicitation variable has two values, a first value corresponding to a solicitation having been made, and a second value corresponding to a solicitation not having been made.
AI classification
Ownership
MICROSOFT CORPORATION
assignment · 169490868
Assignors
CHICKERING, D. MAXWELL, HECKERMAN, DAVID E.
On an employer assignment, the assignors are typically the inventors.