公开(公告)号：US11823217B2

公开(公告)日：2023-11-21

申请号：US16671396

申请日：2019-11-01

Applicant: ADOBE INC.

Inventor： Rushil Mahajan ,  Kumar Mrityunjay Singh

IPC: G06Q30/00 ,  G06Q30/0204 ,  G06Q30/0251 ,  G06Q30/0201 ,  G06N20/00 ,  G06Q30/0242 ,  G06Q30/0241

CPC classification number: G06Q30/0204 ,  G06N20/00 ,  G06Q30/0201 ,  G06Q30/0246 ,  G06Q30/0254 ,  G06Q30/0255 ,  G06Q30/0269 ,  G06Q30/0276

Abstract: A segmentation system utilizes a supervised learning method and a clustering analysis to identify clusters, thereby segmenting a population into groups, where the clusters are associated with various conversion potentials that indicate the probability of an event. The segmentation system employs the supervised learning method to train a model on training data comprising historical conversion data and features associated with members of the group. A subset of features is selected from a ranked order that is determined using weights generated by the supervised learning. A clustering analysis is performed for a population with respect to the subset to generate clusters. A superior cluster is identified based on it having a conversion potential greater than a conversion potential of another cluster. In a marketing context, the system can be employed to identify a superior cluster of users that have a higher conversion potential in response to an advertisement campaign.

公开(公告)号：US20210133782A1

公开(公告)日：2021-05-06

申请号：US16671396

申请日：2019-11-01

Applicant: ADOBE INC.

Inventor： Rushil Mahajan ,  Kumar Mrityunjay Singh

IPC: G06Q30/02 ,  G06N20/00

Abstract: A segmentation system utilizes a supervised learning method and a clustering analysis to identify clusters, thereby segmenting a population into groups, where the clusters are associated with various conversion potentials that indicate the probability of an event. The segmentation system employs the supervised learning method to train a model on training data comprising historical conversion data and features associated with members of the group. A subset of features is selected from a ranked order that is determined using weights generated by the supervised learning. A clustering analysis is performed for a population with respect to the subset to generate clusters. A superior cluster is identified based on it having a conversion potential greater than a conversion potential of another cluster. In a marketing context, the system can be employed to identify a superior cluster of users that have a higher conversion potential in response to an advertisement campaign.