-
公开(公告)号：US11120103B2
公开(公告)日：2021-09-14
申请号：US15853714
申请日：2017-12-23
Applicant: salesforce.com, inc.
Inventor： Paul Walter Hubenig
Abstract: A binary outcome of an activity is predicted based on samples of the activity. The activity is characterized by features that can take on any of a set of mutually exclusive levels. An initial candidate pool of terms is selected. The terms are feature levels or combinations of feature levels. The candidate terms are used to create two ordered pools of terms, one including terms that are positively predictive and another including terms that are negatively predictive. The terms in each pool are ordered by strength of predictiveness and diversity of predictiveness relative to terms higher in the order. A final set of terms is selected by combining terms from these two pools.
-
公开(公告)号：US20190197086A1
公开(公告)日：2019-06-27
申请号：US15853714
申请日：2017-12-23
Applicant: salesforce.com, inc.
Inventor： Paul Walter Hubenig
CPC classification number: G06F17/18 , G06F17/15 , G06F17/245 , G06F17/2818
Abstract: A binary outcome of an activity is predicted based on samples of the activity. The activity is characterized by features that can take on any of a set of mutually exclusive levels. An initial candidate pool of terms is selected. The terms are feature levels or combinations of feature levels. The candidate terms are used to create two ordered pools of terms, one including terms that are positively predictive and another including terms that are negatively predictive. The terms in each pool are ordered by strength of predictiveness and diversity of predictiveness relative to terms higher in the order. A final set of terms is selected by combining terms from these two pools.
-
Search Results
2
records
(took 0.025 seconds)
