Lagerlof, Senecal, Gosney & Kruse, LLP 301 North Lake Avenue 10Th Floor, Pasadena, CA 91101 6267939400 (Office)
Licenses:
California - Active 2003
Education:
Loyola Law School, Loyola Marymount University Degree - JD - Juris Doctor - Law Graduated - 2003 University of Southern California Degree - BS - Bachelor of Science - Business Administration
Kirsten Hunter - San Francisco CA, US Christopher Chan - San Francisco CA, US Vasanth Shenoy - San Ramon CA, US James Collette - Sammamish WA, US Do H. Chung - San Ramon CA, US Allen Billing - Lafayette CA, US
Assignee:
MOBITV, INC. - Emeryville CA
International Classification:
H04N 5/445
US Classification:
725 48
Abstract:
Mechanisms are provided for allowing a user to dynamically manage rich media content in an efficient and effective manner. Tiles including media content, personalized video selections, content pack upgrades, and promotions for featured content are presented to a user. Each tile may include calls to view, purchase, discuss, rate, review, or read about associated content. Tiles may be presented as still images, logos, text, or live video. Multiple tiles may be manipulated using keyboard, mouse, touchpad, and/or touchscreen movements, motions, and gestures. In particular examples, an overlay provided on top of a tile mechanism provides a user with additional navigation and management options.
Mechanisms are provided for allowing a user to linearly or non-linearly discover and navigate media content including live events. A smart timeline includes panels of event information, previews, images, etc. Moving ahead allows discovery of future live media content and events and uncovers mechanisms for setting notifications and reminders. Moving back in time allows discovery of past events and mechanisms for replaying past video and audio content. Event navigation mechanisms can be integrated with calendaring applications to post and select events discovered using event navigation mechanisms.
- San Jose CA, US Christopher Chan - San Francisco CA, US Vasanth Shenoy - Fremont CA, US James Collette - Sammamish CA, US Do H. Chung - San Ramon CA, US Allen Billings - Lafayette CA, US
Mechanisms are provided for allowing a user to dynamically manage rich media content in an efficient and effective manner. Tiles including media content, personalized video selections, content pack upgrades, and promotions for featured content are presented to a user. Each tile may include calls to view, purchase, discuss, rate, review, or read about associated content. Tiles may be presented as still images, logos, text, or live video. Multiple tiles may be manipulated using keyboard, mouse, touchpad, and/or touchscreen movements, motions, and gestures. In particular examples, an overlay provided on top of a tile mechanism provides a user with additional navigation and management options.
Few-Shot Learning For Multi- Task Recommendation Systems
- Dublin, IE Guanglei Xiong - Pleasanton CA, US Christopher Yen-Chu Chan - Jersey City NJ, US Jayashree Subrahmonia - San Jose CA, US Aaron James Sander - Silver Spring MD, US Sukryool Kang - Dublin CA, US Wenxian Zhang - San Jose CA, US
International Classification:
G06N 3/08 G06N 3/04
Abstract:
Implementations are directed to receiving a set of tuples, each tuple including an entity and a product from a set of products, for each tuple: generating, by an embedding module, a total latent vector as input to a recommender network, the total latent vector generated based on a structural vector, a textual vector, and a categorical vector, each generated based on a product profile of a respective product and an entity profile of the entity, generating, by a context integration module, a latent context vector based on a context vector representative of a context of the entity, and inputting the total latent vector and the latent context vector to the recommender network, the recommender network being trained by few-shot learning using a multi-task loss function, and generating, by the recommender network, a prediction including a set of recommendations specific to the entity.
Early Pattern Detection In Data For Improved Enterprise Operations
- Dublin, IE Guanglei Xiong - Pleasanton CA, US Wenxian Zhang - San Jose CA, US Sukryool Kang - Dublin CA, US Jing Su Brewer - San Jose CA, US Ivan A. Wong - Edison NJ, US Christopher Yen-Chu Chan - Jersey City NJ, US Danielle Moffat - Highlands Ranch CO, US Jayashree Subrahmonia - San Jose CA, US Louise Noreen Barrere - Torrance CA, US
International Classification:
G06N 20/00 G06N 5/02 G06Q 10/06
Abstract:
Implementations of the present disclosure include receiving a goal, providing a problem-specific knowledge graph that is responsive to at least a portion of the goal, determining a set of events from the problem-specific knowledge graph, processing data representative of events in the set of events through a first machine learning (ML) model to provide a set of event scores, each event score in the set of event scores being associated with a respective event in the set of events, determining a sub-set of events based on the set of event scores, for each event in the sub-set of events, determining at least one action by processing a sequence of actions through a second ML model, and outputting the sub-set of events and a set of actions for execution of at least one action in the set of actions.
- Holon, IL Ling Leung - Foster City CA, US Sarah Whelan - Mountain View CA, US Maya Kotturi - Belmont CA, US Eran Ophir - Yehuda, IL Arthur Machlenkin - Givaat Brener, IL Zoya Alteber - Nes Ziyona, IL Meir Azulay - Givatayim, IL Sandeep Kumar - San Bruno CA, US Radhika Desai - Brisbane CA, US Christopher Chan - South San Francisco CA, US Kathryn Logronio - Pleasanton CA, US
International Classification:
C07K 16/30 C07K 16/28 A61K 39/395 A61P 35/00
Abstract:
The present invention is directed to triple combination therapies with anti-TIGIT antibodies, anti-PVRIG antibodies, and checkpoint inhibitors, including anti-PD-1 or anti-PD-L1 antibodies.
- Mountain View CA, US Adrian Paul Diaconu - Mountain View CA, US Xiaowei Jiang - Mountain View CA, US Christopher K. Chan - Mountain View CA, US
International Classification:
G06F 3/16 H04L 29/06 H04L 7/00
Abstract:
The various implementations described herein include methods and systems for synchronous audio playback. In one aspect, a method is performed at each of a plurality of electronic devices, each having an audio system, an internal clock, processors and memory storing programs for execution by the processors. Each device is configured for two-way communications with a server and associated with a user account. The device receives an identification of a first device as a common clock device that has a first internal clock being designated as a master clock. The device receives a synchronized audio playback command that includes audio data to be output and a future playback time. In response to receiving the audio data, the device determines a synchronized audio playback time. If the determined synchronized audio playback time has not yet occurred, the electronic device outputs the audio data based on the determined synchronized audio playback time.
Digital Content Prioritization To Accelerate Hyper-Targeting
- Dublin 4, IE Sundaravadivelan RAMAMOORTHY - Chennai, IN Louise Noreen BARRERE - Torrance CA, US Christopher Yen-Chu CHAN - Jersey City NJ, US Ivan WONG - Edison NJ, US Saurabh MATHUR - Jodhpur, IN Nivedita SAMAL - Bangalore, IN Soumya SINGH - Gorakhpur, IN
Assignee:
ACCENTURE GLOBAL SOLUTIONS LIMITED - Dublin 4
International Classification:
G06Q 30/02
Abstract:
A digital content communication system for account management and predictive analytics may be provided. The system may include an analytics system that communicates with one or more servers and one or more data stores to provide digital content management in a network. The analytics system may include a data access interface to receive data associated with a customer, as well as a processor to: standardize the received data using a standardization technique; process the standardized data using a dark data processing technique; generate a customer fit score and a digital density score based on the dark data processing of the standardized data; match received data associated with a customer against at least one variable using at least one matching technique; create a lead analytical record (LAR); prioritize leads in the LAR using a predictive modeling technique; and establish optimized channel assignment based on at least one of the customer fit score, the digital intensity score, the LAR, or the matching and prioritization actions.
Blue Oak Energy Davis, CA Jul 2014 to Aug 2014 Project Management InternCal Pacific Construction Pacifica, CA Jun 2008 to Sep 2008 Assistant Project Manager
Education:
University of California Davis Davis, CA Apr 2013 Bachelor of Science in Mechanical Engineering
May 2013 to 2000 ManagerOn Fourth Caf San Jose, CA May 2012 to Apr 2013 Cashier/BaristaPostal Annex+ San Francisco, CA Jun 2009 to Aug 2011 Sales Representative
Education:
SAN JOS STATE UNIVERSITY San Jose, CA Jun 2013 B.S. in Business Administration/Marketing
2012 to 2000 Graphic Artist / Prepress ProductionNSS Enterprises, Inc
Jan 2006 to 2000 Production ManagerNSS Enterprises, Inc
Jan 2003 to 2000 Online Sales ManagerNSS Enterprises, Inc
Jan 2003 to 2000 Accomplishments
Education:
Mission College Santa Clara, CA 2011 to 2013 Certificate in Graphic ArtsSan Jose State University San Jose, CA 1998 to 2003 B.S. in Business Administration - Management Information System (MIS) / Management & Organization
Skills:
Adobe Creative Suite - Illustrator, InDesign & Photoshop
BASE+birge Engineering Upland, CA Dec 2011 to Dec 2013 Civil DesignerLos Angeles Department of Transportation Los Angeles, CA Jun 2010 to Aug 2010 Intern
Education:
University of California Los Angeles Los Angeles, CA Jun 2011 Master of Science in Civil EngineeringUniversity of California Irvine Irvine, CA Jun 2010 Bachelor of Science in Civil Engineering
Skills:
Microsoft Office, MS Project, Matlab, AutoCAD, Microstation, Wordpress, Synchro, Civil 3D, SAP 2000
Aug 2010 to 2000 Staff EngineerC2 Education Los Angeles, CA Oct 2007 to May 2010 Math and Science TutorPharmaceutical Services Corporation Los Angeles, CA Jun 2006 to Aug 2006 Validation EngineerHickam Air Force Base Honolulu, HI Jun 2005 to Aug 2005 Engineering Intern
Dr. Chan graduated from the Univ of Alberta, Fac of Med, Edmonton, Alb, Canada in 1995. He works in Seattle, WA and specializes in Family Medicine. Dr. Chan is affiliated with Swedish Medical Center Cherry Hill.
He named Rob ORahilly to lead the office in Europe, theMiddle East and Africa, as Christopher Chan continues overseeingAsia, according to the memo. Marie Nourie will become the globalgroups finance chief, and Chetan Bhargiri will join the unit aschief risk officer, reporting to John Hogan, the
Date: May 14, 2012
Source: Google
Youtube
Resident Chris-chan 3: Dating Ground
After Bob finds the lifeless body of Ivy under the mounds of filth in ...
Category:
Comedy
Uploaded:
01 Oct, 2009
Duration:
1m 5s
Chris Chan Game-The Maaallll
Some mistakes in there but it's still be developed. Special thanks to ...
Category:
Gaming
Uploaded:
15 Sep, 2009
Duration:
10m
The Chronicles of Chris-chan: GOD AND THE BEA...
French and English CC by Lookansea. "Liquid Chris" is only CHRIS!!! CH...
Category:
Comedy
Uploaded:
07 Aug, 2009
Duration:
4m 31s
The Chronicles of Chris-chan: The Beginning
CC by chiildrenofthesu... and CatholicSpaceNaz... "The Chronicles" b...
St. David of Wales School Mississauga Morocco 1983-1993, St. Francis Xavier High School Mississauga Morocco 1994-1998
Googleplus
Christopher Chan
Lived:
Washington, DC Cherry Hill, NJ Durham, NC Honolulu, HI Beaufort, NC St. Georges, Bermuda Cleveland, OH Akron, OH Philadelphia, PA San Francisco, CA Pune, India Cincinnati, OH Paris, France
Education:
Duke University - Bio/Chem/Psych, Case Western Reserve School of Law - Law
About:
Looking to live life, keep things interesting, and be "that guy" (in a good way).
Christopher Chan
Lived:
Yorba linda, ca Irvine, ca Santa ana, ca
Work:
Project Access, INC - Evaluation & Research Associate (2007)
Education:
University of California, Irvine - Psychology
About:
“Our deepest fear is not that we are inadequate. Our deepest fear is that we are powerful beyond measure. It is our light, not our darkness that most frightens us. We ask ourselves, Who am I to be br...
Christopher Chan
Lived:
Hercules, California
Work:
UC Davis Extension Center for Excellence in Child Development - Student Assistant Morgan Stanley - Financial Trainee Farmer's Insurance - Student Intern
Education:
University of California, Davis - Managerial Economics
Christopher Chan
Lived:
Dallas, Texas Los Angeles, CA
Work:
Parkland Hospital - Intern (2013)
Education:
University of Southern California - Dentistry, University of California, Los Angeles - Political Science
Christopher Chan
Lived:
Richmond, B.C., Canada San Francisco, California, U.S.A Rangoon, Myanmar
Work:
Richmond Music Festival (RMF) - Reception Volunteer (2009-2011) Royal Canadian Mounted Police (RCMP) - Patrol Volunteer (2012)
Christopher Chan
Lived:
San Francisco, CA Eagle Point, OR
Education:
Cascade Christian High School
About:
Hello.
Christopher Chan
Work:
Kaplan, Inc. - MCAT Prep Teacher (2009-2010)
Education:
Lake Erie College of Osteopathic Medicine - DO, Miami University - BS Biochemistry, Wright State University - MS Anatomy