Zhen M Li

20200402110, Dec 24, 2020

Dec 27, 2018

16/234143

- Menlo Park CA, US
Yuan Liang - Fremont CA, US
Hongji Yang - Belmont CA, US
Zhen Li - Cupertino CA, US
Guangwei Qiu - Fremont CA, US
Kai Du - San Jose CA, US
Alexandra Louise Krakaris - Lafayette CA, US

G06Q 30/02
G06N 20/00

Systems, methods, and non-transitory computer-readable media can receive a set of user features associated with a user. An optimal ad load for the user is determined based on the set of user features and one or more machine learning models. The user is provided with one or more advertisements in accordance with the optimal ad load.

20170243258, Aug 24, 2017

Feb 18, 2016

15/047596

- Menlo Park CA, US
Rachel Barrie Tucker - San Francisco CA, US
Zhen Li - Cupertino CA, US
Nikila Srinivasan Sarang - San Francisco CA, US
Sylvain Marc Robert Friquet - London, GB
Brendan M. Sullivan - Harvard MA, US
Kelly Leanne MacLean - Palo Alto CA, US

G06Q 30/02

An online system receives an advertisement request (“ad request”) including an advertisement from a user and allows the user to create an alternative advertisement for the ad request comprising images presented in an order specified by the user. The online system may identify images from video data included in the ad request or from additional content associated with an object associated with the ad request. Based on selections of identified images by the user and an order in which to present the selected images from the user, the online system generates the alternative advertisement and associates the alternative advertisement with the ad request. One or more criteria are associated with the alternative advertisement, and the online system communicates the alternative advertisement to client devices having characteristics satisfying the criteria rather than video data in the advertisement.