Ilya A Izrailevsky

US Patent:

20050273707, Dec 8, 2005

Filed:

Jun 3, 2005

Appl. No.:

11/145510

Inventors:

Peter Chu - San Jose CA, US
Kenneth Chu - Saratoga CA, US
Rajal Shah - Fremont CA, US
Jun Zhang - Pleasanton CA, US
Jeffrey Meyer - Sunnyvale CA, US
Ilya Izrailevsky - Foster City CA, US
Benjamin Listwon - Palo Alto CA, US
Patrick Blanc - Sunnyvale CA, US

International Classification:

G06F017/00
G06F017/24

US Classification:

715513000

Abstract:

Systems and methods provide a mechanism to create and maintain web pages and other types of output pages. The system and methods use an author markup language (AML) to define output pages. Additionally, a Component Markup Language (CML) may be used to define components that may be referenced by the AML. The AML and CML may be translated to an intermediate format, which may then be further processed at runtime to combine dynamic data with the intermediate format to produce the output page.

US Patent:

20160364371, Dec 15, 2016

Filed:

Jun 13, 2016

Appl. No.:

15/180156

Inventors:

- San Jose CA, US
Kenneth Chao-kang Chu - Saratoga CA, US
Rajal Rasik Shah - Fremont CA, US
Jun Zhang - Pleasanton CA, US
Jeffrey David Meyer - Sunnyvale CA, US
Ilya Alexandrovich Izrailevsky - Foster City CA, US
Benjamin Gregg Listwon - Palo Alto CA, US
Patrick Andre Blanc - Sunnyvale CA, US

International Classification:

G06F 17/22
G06F 17/27
G06F 17/30
G06F 17/21

Abstract:

Systems and methods provide a mechanism to create and maintain web pages and other types of output pages. The system and methods use an author markup language (AML) to define output pages. Additionally, a Component Markup Language (CML) may be used to define components that may be referenced by the AML. The AML and CML may be translated to an intermediate format, which may then be further processed at runtime to combine dynamic data with the intermediate format to produce the output page.

US Patent:

20150331878, Nov 19, 2015

Filed:

May 13, 2014

Appl. No.:

14/276580

Inventors:

- Mountain View CA, US
Ilya A. Izrailevsky - Sunnyvale CA, US
Sunil K. Tripathy - San Jose CA, US

Assignee:

INTUIT INC. - Mountain View CA

International Classification:

G06F 17/30

Abstract:

During this autocomplete technique, autocomplete results for data-entry information from a user are ranked based on financial-transaction histories of a group of entities and the user, where the group of entities and the user belong to a common business cohort. In particular, the business cohort may include entities that: are located proximate to the user, have a similar size as a business associated with the user (such as a similar number of employees and/or similar revenue), and/or occur frequently in a financial-transaction history of the user (and don't occur frequently in the financial-transaction histories of the group of entities). The ranking may be used to increase the accuracy or relevance of the autocomplete results to the user. For example, the ranking may give preference in the autocomplete results to entities in the group of entities (relative to other entities, such as those in different business cohorts).