公开(公告)号：US11538067B2

公开(公告)日：2022-12-27

申请号：US17038378

申请日：2020-09-30

Applicant: Oath Inc.

Inventor： John Franklin Pavley ,  Sang Chul Song ,  Sean Christopher Timm ,  Thu Rein Kyaw ,  Saad Mufti

IPC: G06Q30/02

Abstract: Systems and methods are disclosed for online distribution of content based on a user sentiment index. The method may include receiving, over a network and from a user device, one or more user generated inputs and calculating the user sentiment index based on the one or more user generated inputs. The method may also include receiving, over the network, from a content or advertising provider, instructions on publishing content or advertising to a webpage based on the calculated user sentiment index, and publishing content for display on user devices over the network based on a comparison of the calculated user sentiment index and the received instructions.

公开(公告)号：US10565519B2

公开(公告)日：2020-02-18

申请号：US14792585

申请日：2015-07-06

Applicant: Oath Inc.

Inventor： Thu Kyaw ,  Sang Chul Song ,  Vineet Mahajan ,  Elena Haliczer

IPC: G06K9/62 ,  G06N20/00 ,  G06F17/27 ,  G06N5/02

Abstract: Computerized systems and methods are disclosed for performing contextual classification of objects using supervised and unsupervised training. In accordance with one implementation, content reviewers may review training objects and submit supervised training data for preprocessing and analysis. The supervised training data may be preprocessed to identify key terms and phrases, such as by stemming, tokenization, or n-gram analysis, and form vectorized objects. The vectorized objects may be used to train one or more models for subsequent classification of objects. In certain implementations, preprocessing or training, among other steps, may be performed in parallel over multiple machines to improve efficiency. The disclosed systems and methods may be used in a wide variety of applications, such as article classification and content moderation.