Christopher C Chan

US Patent:

20110231878, Sep 22, 2011

Filed:

Mar 21, 2011

Appl. No.:

13/053093

Inventors:

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.

US Patent:

20120198497, Aug 2, 2012

Filed:

Jan 31, 2012

Appl. No.:

13/362674

Inventors:

Christopher Chan - San Francisco CA, US

Assignee:

MobiTV, Inc. - Emeryville CA

International Classification:

H04N 21/482

US Classification:

725 40

Abstract:

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.

US Patent:

20220382418, Dec 1, 2022

Filed:

Mar 17, 2022

Appl. No.:

17/697713

Inventors:

- 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

International Classification:

G06F 3/0482
H04N 21/431
H04N 21/462
H04N 21/482
H04N 21/47
G06F 3/04842
H04N 21/472
H04N 21/81

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.

US Patent:

20220300804, Sep 22, 2022

Filed:

Jun 17, 2021

Appl. No.:

17/350460

Inventors:

- 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.

US Patent:

20220300854, Sep 22, 2022

Filed:

Jul 8, 2021

Appl. No.:

17/370434

Inventors:

- 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.

US Patent:

20230070685, Mar 9, 2023

Filed:

Dec 7, 2021

Appl. No.:

17/544852

Inventors:

- 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.

US Patent:

20210405962, Dec 30, 2021

Filed:

Oct 3, 2019

Appl. No.:

17/280849

Inventors:

- 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.

US Patent:

20210042767, Feb 11, 2021

Filed:

Aug 7, 2019

Appl. No.:

16/534357

Inventors:

- 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.