公开(公告)号：US10997560B2

公开(公告)日：2021-05-04

申请号：US15389681

申请日：2016-12-23

Applicant: Google Inc.

Inventor： Pei-Chun Chen ,  Christian Posse ,  Zhao Zhang ,  Xuejun Tao

IPC: G06Q10/10 ,  G06F16/35

Abstract: The present disclosure provides systems and methods that improve job posting structure and presentation by, for example, classifying portions of job postings into informative sections. As an example, given a job posting, a computing system implementing aspects of the present disclosure can separate the job posting into multiple portions. After separation into portions, the computing system can classify each portion into the most plausible job-posting-specific section. For example, the computing system can include and implement a machine-learned classification model to classify the portions into the sections. Following classification, the computing system can modify the job posting based on the classification of the portions. In particular, the structure and/or presentation of the job posting can be improved based on the classification of the portions into the sections.

公开(公告)号：US20180181915A1

公开(公告)日：2018-06-28

申请号：US15389681

申请日：2016-12-23

Applicant: Google Inc.

Inventor： Pei-Chun Chen ,  Christian Posse ,  Zhao Zhang ,  Xuejun Tao

IPC: G06Q10/10

CPC classification number: G06Q10/1053 ,  G06F16/353

Abstract: The present disclosure provides systems and methods that improve job posting structure and presentation by, for example, classifying portions of job postings into informative sections. As an example, given a job posting, a computing system implementing aspects of the present disclosure can separate the job posting into multiple portions. After separation into portions, the computing system can classify each portion into the most plausible job-posting-specific section. For example, the computing system can include and implement a machine-learned classification model to classify the portions into the sections. Following classification, the computing system can modify the job posting based on the classification of the portions. In particular, the structure and/or presentation of the job posting can be improved based on the classification of the portions into the sections.

公开(公告)号：US20180181544A1

公开(公告)日：2018-06-28

申请号：US15391946

申请日：2016-12-28

Applicant: Google Inc.

Inventor： Zhao Zhang ,  Chao Chen ,  Christian Posse ,  Xuejun Tao ,  Pei-Chun Chen ,  Julie Park

IPC: G06F17/21 ,  G06Q10/10 ,  G06N99/00 ,  G06N7/00 ,  G06F17/27

CPC classification number: G06N7/005 ,  G06F17/277 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/084 ,  G06N20/00 ,  G06Q10/1053

Abstract: Systems and methods for extracting job skills from a job posting are provided. In one embodiment, a computer-implemented method includes obtaining data indicative of a job posting (including textual content associated with a job). The method includes identifying a portion of the textual content that is descriptive of one or more skills associated with the job. The portion of the textual content is in a first format. The method includes converting the portion of the textual content that is descriptive of the one or more skills associated with the job from the first format to a second format. The second format includes one or more text strings. The method includes determining the one or more skills associated with the job based at least in part on one or more of the text strings. The method includes providing an output indicative of the one or more skills associated with the job posting.