公开(公告)号：US11676060B2

公开(公告)日：2023-06-13

申请号：US15002206

申请日：2016-01-20

Applicant: Adobe Inc.

Inventor： Anirban Roychowdhury ,  Hung H. Bui ,  Trung H. Bui ,  Hailin Jin

IPC: G06N20/00 ,  G06Q30/02

CPC classification number: G06N20/00 ,  G06Q30/02

Abstract: Digital content interaction prediction and training techniques that address imbalanced classes are described. In one or more implementations, a digital medium environment is described to predict user interaction with digital content that addresses an imbalance of numbers included in first and second classes in training data used to train a model using machine learning. The training data is received that describes the first class and the second class. A model is trained using machine learning. The training includes sampling the training data to include at least one subset of the training data from the first class and at least one subset of the training data from the second class. Iterative selections are made of a batch from the sampled training data. The iteratively selected batches are iteratively processed by a classifier implemented using machine learning to train the model.

公开(公告)号：US10803377B2

公开(公告)日：2020-10-13

申请号：US15053448

申请日：2016-02-25

Applicant: Adobe Inc.

Inventor： Anirban Roychowdhury ,  Trung Bui ,  John Kucera ,  Hung Bui ,  Hailin Jin

IPC: G06N3/02 ,  G06Q30/02 ,  G06N3/08 ,  H04L29/08 ,  H04W4/23

Abstract: Techniques for predictively selecting a content presentation in a client-server computing environment are described. In an example, a content management system detects an interaction of a client with a server and accesses client features. Responses of the client to potential content presentations are predicted based on a multi-task neural network. The client features are mapped to input nodes and the potential content presentations are associated with tasks mapped to output nodes of the multi-task neural network. The tasks specify usages of the potential content presentations in response to the interaction with the server. In an example, the content management system selects the content presentation from the potential content presentations based on the predicted responses. For instance, the content presentation is selected based on having the highest likelihood. The content management system provides the content presentation to the client based on the task corresponding to the content presentation.