-
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
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.
-
公开(公告)号：US10454987B2
公开(公告)日：2019-10-22
申请号：US15337806
申请日：2016-10-28
Applicant: Google Inc.
Inventor： Chao Chen , Yao-Chung Lin , Anil Kokaram , Steve Benting
IPC: H04L29/06 , H04L12/811 , H04N21/2343 , H04N21/258
Abstract: Implementations disclose bitrate optimization for multi-representation encoding using playback statistics. A method includes generating multiple versions of a segment of a source video, the versions comprising encodings of the segment at different encoding bitrates for each resolution of the segment, measuring a quality metric for each version of the segment, generating rate-quality models for each resolution of the segment based on the measured quality metrics corresponding to the resolutions, generating a probability model to predict requesting probabilities that representations of the segment are requested, the probability model based on a joint probability distribution of network speed and viewport size that is generated from client-side feedback statistics associated with prior playbacks of other videos, determining an encoding bitrate for each of the representations of the segment based on the rate-quality models and the probability model, and assigning determined encoding bitrates to corresponding representations of the segment.
-
公开(公告)号：US20180181609A1
公开(公告)日：2018-06-28
申请号：US15391912
申请日：2016-12-28
Applicant: Google Inc.
Inventor： Chao Chen , Alonso Alphonsovich Rukubayihunga , Christian Posse , Xuejun Tao , Ye Tian , Geordon Kitchen
CPC classification number: G06F16/2365 , G06F16/2255 , G06Q10/1053
Abstract: Systems and methods for de-duplicating electronic job postings are provided. In one embodiment, a method includes obtaining a first set of data indicative of a job posting. The first set of data includes one or more characteristics associated with the job posting. The method includes accessing a second set of data indicative of a job posting cluster. The job posting cluster includes one or more previous job postings. One of the previous job postings is a master job posting that is representative of the previous job postings. The method includes determining whether the job posting is duplicative of the previous job postings based at least in part on the characteristics associated with the job posting and the master job posting. The method includes providing for storage a third set of data indicative of the job posting associated with the job posting cluster or associated with a new job posting cluster.
-
公开(公告)号：US20180124146A1
公开(公告)日：2018-05-03
申请号：US15337806
申请日：2016-10-28
Applicant: Google Inc.
Inventor： Chao Chen , Yao-Chung Lin , Anil Kokaram , Steve Benting
IPC: H04L29/06 , H04L12/811
Abstract: Implementations disclose bitrate optimization for multi-representation encoding using playback statistics. A method includes generating multiple versions of a segment of a source video, the versions comprising encodings of the segment at different encoding bitrates for each resolution of the segment, measuring a quality metric for each version of the segment, generating rate-quality models for each resolution of the segment based on the measured quality metrics corresponding to the resolutions, generating a probability model to predict requesting probabilities that representations of the segment are requested, the probability model based on a joint probability distribution of network speed and viewport size that is generated from client-side feedback statistics associated with prior playbacks of other videos, determining an encoding bitrate for each of the representations of the segment based on the rate-quality models and the probability model, and assigning determined encoding bitrates to corresponding representations of the segment.
-
-
-
Search Results
4
records
(took 0.017 seconds)
