公开(公告)号：US10210462B2

公开(公告)日：2019-02-19

申请号：US14552001

申请日：2014-11-24

Applicant: Google LLC

Inventor： Juan Carlos Niebles Duque ,  Hrishikesh Aradhye ,  Luciano Sbaiz ,  Jay Yagnik ,  Reto Strobl

IPC: G06F15/18 ,  G06N99/00 ,  G06F17/30 ,  G06K9/00 ,  H04N21/234 ,  H04N21/258 ,  H04L29/06 ,  H04N21/25

Abstract: A demographics analysis trains classifier models for predicting demographic attribute values of videos and users not already having known demographics. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of videos using video features such as demographics of video uploaders, textual metadata, and/or audiovisual content of videos. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of users (e.g., anonymous users) using user features based on prior video viewing periods of users. For example, viewing-period based user features can include individual viewing period statistics such as total videos viewed. Further, the viewing-period based features can include distributions of values over the viewing period, such as distributions in demographic attribute values of video uploaders, and/or distributions of viewings over hours of the day, days of the week, and the like.

公开(公告)号：US10095777B1

公开(公告)日：2018-10-09

申请号：US15794884

申请日：2017-10-26

Applicant: Google LLC

Inventor： Reto Strobl

IPC: G06F17/30 ,  H04L29/08 ,  H04L29/06

Abstract: Aspects and implementations of the present disclosure are directed to methods of and systems for search lift remarketing. In general, in some implementations, a first content item is distributed to client devices and search lift attributable to the first content item is measured by examining subsequent requests received from client devices to which the first content item has been distributed as compared to requests received from similar client devices to which the first content item has not been distributed. Keywords benefiting from search-lift attributable to the first content item are used to determine when to send a second content item in response to requests from client devices in a select audience. In some implementations, requests are compared to identify a set of keywords invoked more frequently after presentation of the first content item where an increase in usage exceeds a threshold or otherwise indicates a statistical significance.