公开(公告)号：US10607254B1

公开(公告)日：2020-03-31

申请号：US15044923

申请日：2016-02-16

Applicant: Google Inc.

Inventor： Stephanie Sapp ,  Stefan F. Schnabl ,  Jon Vaver ,  Ruixue Fan

IPC: G06Q30/02

Abstract: Systems, methods, and computer-readable storage media for attribution modeling using withheld or near impression data are provided. One method involves determining, for a first content item impression, withheld or near impressions for a competing content item within a content auction. The method further involves identifying a first set of paths including a sequence of events that includes an interaction with the first content item impression. The method further involves identifying a second set of paths, each including the sequence of events with the competing content item impression replacing the first content item impression. The method compares conversion metrics for the first and second paths to determine attribution credit for the first content item impression.

公开(公告)号：US10282357B1

公开(公告)日：2019-05-07

申请号：US15255367

申请日：2016-09-15

Applicant: Google Inc.

Inventor： William Martin Halpin, Jr. ,  Ruixue Fan ,  Antonella Pavese ,  Harrison Mark Gordon ,  Kirsten Paige Yee ,  Yueqing Wang ,  Matthew Strecker Burriesci ,  Sean Patrick Miller ,  Yijia Feng ,  James Robert Koehler

IPC: G06F17/30 ,  G06F16/2457 ,  G06F16/93 ,  G06F16/23 ,  G06F16/9535

Abstract: Methods and systems of reducing computer resource utilization to update rankings based on dynamically generated content are described. The method includes identifying a ranking of content experience types of a list of content experience types. Each content experience type including parameters to generate content experience documents. The method also includes updating the ranking of content experience types. The updating includes iteratively selecting content experience types from the ranking of content experience types to generate an update subset of the ranking of content experience types, generating, for a client device, a feedback request document including a plurality of content experience documents, and receiving feedback information related to the plurality of content experience documents included in the feedback request document to update the ranking of the content experience types included in the update subset.