公开(公告)号：US10455034B2

公开(公告)日：2019-10-22

申请号：US15636504

申请日：2017-06-28

Applicant: Facebook, Inc.

Inventor： Shiliyang Xu ,  Aleksey Sergeyevich Fadeev

IPC: H04L29/08 ,  G06Q30/02 ,  G06F16/9535 ,  G06F16/2457

Abstract: An online system receives tracking requests from client devices interacting with a website to analyze user interactions with the website. The website provides instructions with web pages sent to a client device that cause the client device to send tracking instructions to the online system. The online system sends requests for web pages to the website, receives a plurality of web pages from the website, and determines a count of distinct web pages provided by the website. The online system determines a score for the website indicating a quality of tracking instructions of the website based on various factors, including an aggregate value based on the distinct webpages of the website that include tracking instructions and the count of distinct web pages provided by the website. Based on this score, the online system generates a report describing a quality of the tracking instructions of the website.

公开(公告)号：US20190007506A1

公开(公告)日：2019-01-03

申请号：US15636504

申请日：2017-06-28

Applicant: Facebook, Inc.

Inventor： Shiliyang Xu ,  Aleksey Sergeyevich Fadeev

IPC: H04L29/08 ,  G06Q30/02 ,  G06F17/30

CPC classification number: H04L67/22 ,  G06F16/24578 ,  G06F16/9535 ,  G06Q30/0255 ,  H04L67/02

Abstract: An online system receives tracking requests from client devices interacting with a website to analyze user interactions with the website. The website provides instructions with web pages sent to a client device that cause the client device to send tracking instructions to the online system. The tracking instructions included in web pages of the website may include deficiencies. For example, certain web pages may not include tracking instructions, the tracking instructions may identify web pages incorrectly, or may not provide significant data values with the tracking requests, and so on. The online system sends requests for web pages to the website, receives a plurality of web pages from the website, and determines a count of distinct web pages provided by the website. The online system determines a score for the web site indicating a quality of tracking instructions of the website based on various factors, including an aggregate value based on the distinct webpages of the website that include tracking instructions and the count of distinct web pages provided by the website. Based on this score, the online system generates a report describing a quality of the tracking instructions of the website.

公开(公告)号：US09882999B1

公开(公告)日：2018-01-30

申请号：US15636500

申请日：2017-06-28

Applicant: Facebook, Inc.

Inventor： Shiliyang Xu ,  Aleksey Sergeyevich Fadeev

IPC: G06F15/173 ,  H04L29/08 ,  G06Q30/02 ,  G06N99/00 ,  G06F17/30

CPC classification number: H04L67/22 ,  G06F17/30864 ,  G06N99/005 ,  G06Q30/0255

Abstract: An online system receives tracking requests from client devices interacting with a website. The online system analyzes user interactions with websites using the tracking requests. The online system predicts an accurate label for the web page that caused the tracking request to be generated. The online system uses the accurate label for generating reports describing user interactions with the website. The online system determines a quality of tracking requests generated by the website based on various factors including a number of web pages of the website that generate tracking requests, the type of information provided by the tracking requests, and so on. The online system generates reports describing the quality of the tracking requests. The online system uses a metric indicating the quality of tracking requests of the website to determine whether to use predicted labels instead of labels provided by tracking requests for generating reports of the website.

公开(公告)号：US10257298B2

公开(公告)日：2019-04-09

申请号：US15879771

申请日：2018-01-25

Applicant: Facebook, Inc.

Inventor： Shiliyang Xu ,  Aleksey Sergeyevich Fadeev

IPC: G06F15/173 ,  H04L29/08 ,  G06Q30/02 ,  G06F17/30 ,  G06N99/00

Abstract: An online system receives tracking requests from client devices interacting with a website. The online system analyzes user interactions with websites using the tracking requests. The online system predicts an accurate label for the web page that caused the tracking request to be generated. The online system uses the accurate label for generating reports describing user interactions with the website. The online system determines a quality of tracking requests generated by the website based on various factors including a number of web pages of the website that generate tracking requests, the type of information provided by the tracking requests, and so on. The online system generates reports describing the quality of the tracking requests. The online system uses a metric indicating the quality of tracking requests of the website to determine whether to use predicted labels instead of labels provided by tracking requests for generating reports of the website.

公开(公告)号：US20190007508A1

公开(公告)日：2019-01-03

申请号：US15879771

申请日：2018-01-25

Applicant: Facebook, Inc.

Inventor： Shiliyang Xu ,  Aleksey Sergeyevich Fadeev

IPC: H04L29/08 ,  G06Q30/02 ,  G06N99/00 ,  G06F17/30

Abstract: An online system receives tracking requests from client devices interacting with a website. The online system analyzes user interactions with websites using the tracking requests. The online system predicts an accurate label for the web page that caused the tracking request to be generated. The online system uses the accurate label for generating reports describing user interactions with the website. The online system determines a quality of tracking requests generated by the website based on various factors including a number of web pages of the website that generate tracking requests, the type of information provided by the tracking requests, and so on. The online system generates reports describing the quality of the tracking requests. The online system uses a metric indicating the quality of tracking requests of the website to determine whether to use predicted labels instead of labels provided by tracking requests for generating reports of the website.