公开(公告)号：US10956929B2

公开(公告)日：2021-03-23

申请号：US16105006

申请日：2018-08-20

Applicant: Oath Inc.

Inventor： Zornitsa Kozareva ,  Lin Ma ,  Rohit Bhatia

IPC: G06Q30/00 ,  G06Q30/02 ,  G06Q50/00

Abstract: Systems and methods for generating human readable natural language summary for campaign audience are provided. The system includes a memory storing a database including audience segments and tags related to the audience segments. A computer server is in communication with the memory and the database, the computer server programmed to: obtain campaign delivery feed data related to a plurality of campaigns from at least one advertiser in a preset time period; obtain audience feed data including tag information from a data provider; cluster the tag information to find term frequencies for each term in the tag information; identify human understandable terms from the clustered tag information by removing noisy terms; and generate a human understandable report using the human understandable terms in a timely fashion.

公开(公告)号：US10728203B2

公开(公告)日：2020-07-28

申请号：US16105046

申请日：2018-08-20

Applicant: OATH INC.

Inventor： Zornitsa Kozareva ,  Scott Gaffney

IPC: H04L12/58 ,  G06F16/35 ,  G06Q30/02 ,  G06N5/04 ,  G06N5/02 ,  G06N20/00 ,  G06N5/00

Abstract: A method, implemented on at least one computing device, each of which has at least one processor, storage, and a communication platform connected to a network for classifying a question is disclosed. A question is received from a person. A question pattern is determined. A model selected based on the question is retrieved. Further, a decision is made as to whether the question is a personal question based on the question pattern and the selected model.

公开(公告)号：US20180359209A1

公开(公告)日：2018-12-13

申请号：US16105046

申请日：2018-08-20

Applicant: OATH INC.

Inventor： Zornitsa Kozareva ,  Scott Gaffney

IPC: H04L12/58 ,  G06Q30/02 ,  G06F17/30 ,  G06N5/00

CPC classification number: H04L51/32 ,  G06F16/353 ,  G06N5/00 ,  G06N5/022 ,  G06N5/048 ,  G06N20/00 ,  G06Q30/0201 ,  H04L51/02 ,  H04L51/16

Abstract: A method, implemented on at least one computing device, each of which has at least one processor, storage, and a communication platform connected to a network for classifying a question is disclosed. A question is received from a person. A question pattern is determined. A model selected based on the question is retrieved. Further, a decision is made as to whether the question is a personal question based on the question pattern and the selected model.