Xiang C Chen

US Patent:

6853996, Feb 8, 2005

Filed:

Aug 8, 2001

Appl. No.:

09/925218

Inventors:

Xiang Chen - El Sobrante CA, US
Dmitri Pavlovski - San Francisco CA, US
Arkady Borkovsky - San Francisco CA, US
Richard Collins - Sunnyvale CA, US

Assignee:

E-Centives, Inc. - Bethesda MD

International Classification:

G06F017/30

US Classification:

707 10, 707103 R

Abstract:

A computer-implemented approach for organizing input listings from various sources of input listings. Input listings are organized by mapping the input listings to consolidated listing that correspond to the input listings. The mapping of the input listings are based on various techniques such as a Stock Keeping Unit item-listing-to-consolidated-listing matching technique, a name/title item-listing-to-consolidated-listing matching technique, and a model item-listing-to-consolidated-listing matching technique.

US Patent:

7542964, Jun 2, 2009

Filed:

Dec 22, 2004

Appl. No.:

11/019130

Inventors:

Xiang Chen - El Sobrante CA, US
Dmitri Pavlovski - San Francisco CA, US
Arkady Borkovsky - San Francisco CA, US
Richard Collins - Sunnyvale CA, US

Assignee:

Invenda Corporation - Bethesda MD

International Classification:

G06F 17/30

US Classification:

707 3, 707 5, 707 10, 707100

Abstract:

A computer-implemented approach for organizing input listings from various sources of input listings. Input listings are organized by mapping the input listings to consolidated listing that correspond to the input listings. The mapping of the input listings are based on various techniques such as a Stock Keeping Unit item-listing-to-consolidated-listing matching technique, a name/title item-listing-to-consolidated-listing matching technique, and a model item-listing-to-consolidated-listing matching technique.

US Patent:

8037019, Oct 11, 2011

Filed:

May 11, 2009

Appl. No.:

12/463781

Inventors:

Xiang Chen - El Sobrante CA, US
Dmitri Pavlovski - San Francisco CA, US
Arkady Borkovsky - San Francisco CA, US
Richard Collins - Sunnyvale CA, US

Assignee:

Invenda Corporation - Bethesda MD

International Classification:

G06F 17/30

US Classification:

707609

Abstract:

A computer-implemented approach for organizing input listings from various sources of input listings. Input listings are organized by mapping the input listings to consolidated listing that correspond to the input listings. The mapping of the input listings are based on various techniques such as a Stock Keeping Unit item-listing-to-consolidated-listing matching technique, a name/title item-listing-to-consolidated-listing matching technique, and a model item-listing-to-consolidated-listing matching technique.

US Patent:

20120030205, Feb 2, 2012

Filed:

Oct 11, 2011

Appl. No.:

13/270885

Inventors:

Xiang Chen - El Sobrante CA, US
Dmitri Pavlovski - San Francisco CA, US
Arkady Borkovsky - San Francisco CA, US
Richard Collins - Sunnyvale CA, US

Assignee:

Invenda Corporation - Bethesda MD

International Classification:

G06F 17/30

US Classification:

707737, 707E17014

Abstract:

A computer-implemented approach for organizing input listings from various sources of input listings. Input listings are organized by mapping the input listings to consolidated listing that correspond to the input listings. The mapping of the input listings are based on various techniques such as a Stock Keeping Unit item-listing-to-consolidated-listing matching technique, a name/title item-listing-to-consolidated-listing matching technique, and a model item-listing-to-consolidated-listing matching technique.

US Patent:

20180268258, Sep 20, 2018

Filed:

Mar 13, 2018

Appl. No.:

15/919435

Inventors:

- Bellevue WA, US
Xiang CHEN - Bellevue WA, US
Rafael GUERRERO - Atlanta GA, US

International Classification:

G06K 9/62
G06F 15/18
G06F 9/451
G06Q 10/06

Abstract:

Techniques are described for using artificial intelligence (i.e., machine learning) to identify a system problem. Multiple machine learning stages, or models, are used to better categorize inputs and more quickly derive a reliable solution. Each subsequent model identifies a more specific category than a previous model, i.e., each successive model operates on a more granular level. The described techniques include staged machine learning models and user interface elements that are used to train a system and support an application development process. These techniques can be used to more easily create logic that is directed to solving a problem in a particular system.

US Patent:

20140201643, Jul 17, 2014

Filed:

Jan 11, 2013

Appl. No.:

13/739731

Inventors:

- Round Rock TX, US
Vineetha Abraham - Ottawa, CA
Daniel Barker - Renton WA, US
Nicolae Anca - Ottawa, CA
Xuejun Situ - Ottawa, CA
Peizhen Tian - Stittsville, CA
Yuan Liang - Ottawa, CA
Xiang Chen - Greenwood Village CO, US

Assignee:

DELL PRODUCTS L.P. - Round Rock TX

International Classification:

G06F 3/0481

US Classification:

715738

Abstract:

In one embodiment, a method includes receiving a request for web-widget manipulation. The request includes a scope of manipulation. The method further includes identifying at least one managed web widget as being covered by the scope of manipulation. In addition, the method includes identifying at least one instance of the at least one managed web widget as being covered by the scope of manipulation. Further, the method includes extracting a plurality of user-interface (UI) display items relative to the at least one managed web widget and the at least one instance. The plurality of UI display items includes at least one global UI display item and at least one website-level UI display item.