Invention Grant
- Patent Title: Optimizing content distribution using a model
-
Application No.: US15183335Application Date: 2016-06-15
-
Publication No.: US11531925B2Publication Date: 2022-12-20
- Inventor: Scott Tadashi Davies , Kai Chen , Michael Jee-Kai Wang , Wei Jiang , Maryam Tavafi , Peter Zaimis Tipton
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F16/22 ; G06F16/435 ; H04L67/01 ; H04L67/06 ; G06Q30/02

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing content presentation. In one aspect, a system includes a training database that stores training data including attribute information about users and corresponding proxy metrics quantifying behavior by the users following content presentation; a content database; a model generator that accesses the training data and trains a model for content distribution; and a content distribution server that receives a content request, uses the model to select content, transmits data identifying the selected content, wherein the model: obtains a set of attributes for a user associated with the request, receives information about a given content, predicts a proxy metric based on the set of attributes and the information about the content, the predicted proxy metric providing information about subject retention or awareness; and identifies the given content for distribution if the predicted proxy metrics meet a threshold.
Public/Granted literature
- US20170364822A1 OPTIMIZING CONTENT DISTRIBUTION USING A MODEL Public/Granted day:2017-12-21
Information query