Zhong; Shi

Patent Applications and Registrations

Patent applications and USPTO patent grants for Zhong; Shi.The latest application filed is for "systems and methods for generating a geo-level hierarchical bayesian model".

Company Profile

2.11.15

Zhong; Shi - Mountain View CA
Zhong; Shi - Austin TX
Zhong; Shi - Santa Clara CA
Zhong; Shi - Beijing N/A CN
Zhong; Shi - Haidian CN

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Systems and methods for generating a geo-level hierarchical Bayesian model Grant 10,706,191 - Sun , et al.	2020-07-07
Systems And Methods For Generating A Geo-level Hierarchical Bayesian Model App 20190065638 - Sun; Yunting ; et al.	2019-02-28
System, Method And Computer Program Product For Fractional Attribution Using Online Advertising Information App 20180349949 - Zhong; Shi ; et al.	2018-12-06
System And Method For Fractional Attribution Utilizing Aggregated Advertising Information App 20180308123 - Zhong; Shi ; et al.	2018-10-25
Granular Data For Behavioral Targeting App 20170140424 - Canny; John ; et al.	2017-05-18
System And Method For Fractional Attribution Utilizing User-level Data And Aggregate Level Data App 20160034948 - Zhong; Shi ; et al.	2016-02-04
System, Method And Computer Program Product For Fractional Attribution Using Online Advertising Information App 20160027041 - Zhong; Shi ; et al.	2016-01-28
Method, device and circuit for charging multiple battery packs of an energy storage system Grant 8,970,179 - Zhong March 3, 2	2015-03-03
Granular Data For Behavioral Targeting App 20140200999 - Canny; John ; et al.	2014-07-17
Method and system for generating pricing recommendations Grant 8,374,906 - Williams , et al. February 12, 2	2013-02-12
Method and system for generating a linear machine learning model for predicting online user input actions Grant 8,364,627 - Canny , et al. January 29, 2	2013-01-29
Method And Device For Charging Multiple Battery Packs App 20120187920 - Zhong; Shi	2012-07-26
System and method for testing pattern sensitive algorithms for semiconductor design Grant 8,201,132 - DeMaris , et al. June 12, 2	2012-06-12
Method and System for Generating A Linear Machine Learning Model for Predicting Online User Input Actions App 20110131160 - Canny; John ; et al.	2011-06-02
Granular data for behavioral targeting using predictive models Grant 7,921,069 - Canny , et al. April 5, 2	2011-04-05
Finding Similar Campaigns for Internet Advertisement Targeting App 20100257022 - Wang; Jinlin ; et al.	2010-10-07
System And Method For Testing Pattern Sensitive Algorithms For Semiconductor Design App 20100095254 - DeMaris; David L. ; et al.	2010-04-15
Testing pattern sensitive algorithms for semiconductor design Grant 7,685,544 - DeMaris , et al. March 23, 2	2010-03-23
Method To Tag Advertiser Campaigns To Enable Segmentation Of Underlying Inventory App 20090222316 - Boinepalli; Raghav ; et al.	2009-09-03
Granular Data for Behavioral Targeting App 20090006363 - Canny; John ; et al.	2009-01-01
Testing Pattern Sensitive Algorithms For Semiconductor Design App 20080104555 - DeMaris; David L. ; et al.	2008-05-01
System and method for testing pattern sensitive algorithms for semiconductor design Grant 7,353,472 - DeMaris , et al. April 1, 2	2008-04-01
System and method for testing pattern sensitive algorithms for semiconductor design App 20070038970 - DeMaris; David L. ; et al.	2007-02-15

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.